Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
[Display omitted] •A novel Hybrid SCA-DE algorithm is introduced for global optimization and object tracking.•The proposed hybrid algorithm has better capability to escape from local optima with faster convergence.•The performance of the Hybrid SCA-DE algorithm was better than with other state-of-th...
Saved in:
| Published in | Applied soft computing Vol. 62; pp. 1019 - 1043 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.01.2018
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | [Display omitted]
•A novel Hybrid SCA-DE algorithm is introduced for global optimization and object tracking.•The proposed hybrid algorithm has better capability to escape from local optima with faster convergence.•The performance of the Hybrid SCA-DE algorithm was better than with other state-of-the-art metaheuristic algorithms.•The hybrid SCA-DE algorithm is applied for visual tracking as a real thought- provoking case study to demonstrate and verify the performance of this algorithm in practice.
A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and object tracking. The proposed hybrid algorithm has better capability to escape from local optima with faster convergence than the standard SCA and DE. The effectiveness of this algorithm is evaluated using 23 benchmark functions, which are divided into three groups: unimodal, multimodal, and fixed dimension multimodal functions. Statistical parameters have been employed to observe the efficiency of the Hybrid SCA-DE qualitatively and results prove that the proposed algorithm is very competitive compared to the state-of-the-art metaheuristic algorithms. The proposed algorithm is applied for object tracking as a real thought-provoking case study. To demonstrate the tracking ability of a Hybrid SCA-DE-based tracker, a comparative study of tracking accuracy and speed of the Hybrid SCA-DE-based tracker with four other trackers, namely, Particle Filter, Scale-invariant feature transform, Particle swarm optimization and Bat algorithm are presented. Comparative results show that the Hybrid SCA-DE-based tracker can robustly track an arbitrary target in various challenging conditions than the other trackers. |
|---|---|
| AbstractList | [Display omitted]
•A novel Hybrid SCA-DE algorithm is introduced for global optimization and object tracking.•The proposed hybrid algorithm has better capability to escape from local optima with faster convergence.•The performance of the Hybrid SCA-DE algorithm was better than with other state-of-the-art metaheuristic algorithms.•The hybrid SCA-DE algorithm is applied for visual tracking as a real thought- provoking case study to demonstrate and verify the performance of this algorithm in practice.
A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and object tracking. The proposed hybrid algorithm has better capability to escape from local optima with faster convergence than the standard SCA and DE. The effectiveness of this algorithm is evaluated using 23 benchmark functions, which are divided into three groups: unimodal, multimodal, and fixed dimension multimodal functions. Statistical parameters have been employed to observe the efficiency of the Hybrid SCA-DE qualitatively and results prove that the proposed algorithm is very competitive compared to the state-of-the-art metaheuristic algorithms. The proposed algorithm is applied for object tracking as a real thought-provoking case study. To demonstrate the tracking ability of a Hybrid SCA-DE-based tracker, a comparative study of tracking accuracy and speed of the Hybrid SCA-DE-based tracker with four other trackers, namely, Particle Filter, Scale-invariant feature transform, Particle swarm optimization and Bat algorithm are presented. Comparative results show that the Hybrid SCA-DE-based tracker can robustly track an arbitrary target in various challenging conditions than the other trackers. |
| Author | Nenavath, Hathiram Jatoth, Ravi Kumar |
| Author_xml | – sequence: 1 givenname: Hathiram surname: Nenavath fullname: Nenavath, Hathiram email: hathiram.iisc@gmail.com, hathiram@student.nitw.ac.in – sequence: 2 givenname: Ravi Kumar surname: Jatoth fullname: Jatoth, Ravi Kumar email: jrk.nitw@gmail.com |
| BookMark | eNp9kM1KAzEUhYNUsFVfwFVeYMYk8xtwI0WtUHCj65DJT73jNCmZWGmf3rR15aKbey4HvsO9Z4YmzjuD0B0lOSW0vu9zOXqVM0KbnPCcFPwCTWnbsIzXLZ2kvarbrORlfYVm49iTBHHWThEsdl0ADXtwKzyCM1j5o8hh5QPEzzX-SRNrsNYE4yLIAZutH74jeIetD3g1-C6ZfhNhDXt59KXT2He9URHHINVXSr9Bl1YOo7n902v08fz0Pl9ky7eX1_njMlNFwWNWSsaYNco0naoaowjTrLaGW20b3WltO9VVtmE1V1VdVJx0hdZl0VLNLC1kW1yj9pSrgh_HYKxQEI9XpUtgEJSIQ2WiF4fKxKEyQbhIlSWU_UM3AdYy7M5DDyfIpKe2YIIYFRinjIaQ_hfawzn8FyVijCQ |
| CitedBy_id | crossref_primary_10_1007_s10044_019_00791_6 crossref_primary_10_1109_ACCESS_2023_3294993 crossref_primary_10_1007_s00500_021_06039_y crossref_primary_10_1016_j_eswa_2019_113113 crossref_primary_10_1016_j_engappai_2021_104506 crossref_primary_10_1016_j_isci_2023_106679 crossref_primary_10_1007_s00521_021_05880_4 crossref_primary_10_1142_S0219622021500176 crossref_primary_10_1016_j_knosys_2019_105169 crossref_primary_10_1155_2020_4968063 crossref_primary_10_1088_1742_6596_1879_3_032048 crossref_primary_10_1016_j_asoc_2023_110554 crossref_primary_10_1016_j_compbiomed_2023_107166 crossref_primary_10_1016_j_eswa_2023_120186 crossref_primary_10_1038_s41598_025_91778_3 crossref_primary_10_1093_jcde_qwac075 crossref_primary_10_1007_s11227_023_05427_5 crossref_primary_10_3390_app122312179 crossref_primary_10_1016_j_isci_2023_107896 crossref_primary_10_1016_j_jocs_2020_101219 crossref_primary_10_1177_0142331218811453 crossref_primary_10_1016_j_eswa_2022_118372 crossref_primary_10_1016_j_compbiomed_2024_108439 crossref_primary_10_1016_j_knosys_2020_106388 crossref_primary_10_1142_S1469026824500159 crossref_primary_10_3389_fninf_2022_1063048 crossref_primary_10_1016_j_eswa_2022_116516 crossref_primary_10_3390_math10020276 crossref_primary_10_1016_j_compstruc_2024_107496 crossref_primary_10_3390_sym14020331 crossref_primary_10_1016_j_compbiomed_2023_107293 crossref_primary_10_1007_s42235_024_00479_6 crossref_primary_10_1002_tee_23876 crossref_primary_10_3390_math11051195 crossref_primary_10_1007_s00366_020_01083_y crossref_primary_10_1109_ACCESS_2019_2954500 crossref_primary_10_1002_ese3_1273 crossref_primary_10_1016_j_eswa_2018_11_032 crossref_primary_10_1007_s00500_024_10315_y crossref_primary_10_1007_s00500_020_05032_1 crossref_primary_10_1016_j_neucom_2024_128289 crossref_primary_10_1016_j_eswa_2022_116625 crossref_primary_10_1109_ACCESS_2019_2900486 crossref_primary_10_1016_j_asoc_2019_105938 crossref_primary_10_1016_j_neucom_2023_02_010 crossref_primary_10_1007_s00521_021_06216_y crossref_primary_10_1016_j_eswa_2020_114122 crossref_primary_10_1002_er_8011 crossref_primary_10_1007_s00366_021_01448_x crossref_primary_10_1016_j_compbiomed_2023_107197 crossref_primary_10_3390_biomimetics9010020 crossref_primary_10_1007_s00521_021_05963_2 crossref_primary_10_1016_j_asoc_2021_107623 crossref_primary_10_1016_j_compbiomed_2024_108341 crossref_primary_10_1080_15325008_2020_1731870 crossref_primary_10_1007_s10489_022_04446_8 crossref_primary_10_1016_j_bspc_2024_106492 crossref_primary_10_1111_bcpt_13959 crossref_primary_10_1016_j_bspc_2022_104350 crossref_primary_10_3390_biomimetics9060334 crossref_primary_10_1016_j_seta_2021_101310 crossref_primary_10_1002_aisy_202300746 crossref_primary_10_1016_j_jocs_2023_102105 crossref_primary_10_1108_COMPEL_08_2021_0296 crossref_primary_10_1016_j_asoc_2021_107197 crossref_primary_10_1016_j_cie_2022_108164 crossref_primary_10_1080_08839514_2020_1848276 crossref_primary_10_1016_j_asoc_2022_108562 crossref_primary_10_3390_biomimetics8060484 crossref_primary_10_1016_j_knosys_2020_106461 crossref_primary_10_1016_j_engappai_2022_105620 crossref_primary_10_1007_s12065_019_00290_x crossref_primary_10_1080_02626667_2020_1828889 crossref_primary_10_1007_s12065_019_00251_4 crossref_primary_10_1049_rpg2_12973 crossref_primary_10_3233_JIFS_221178 crossref_primary_10_1111_exsy_12779 crossref_primary_10_32604_cmes_2023_024247 crossref_primary_10_1016_j_compbiomed_2022_105618 crossref_primary_10_1016_j_compbiomed_2024_108599 crossref_primary_10_1016_j_jocs_2021_101477 crossref_primary_10_1080_0305215X_2024_2340054 crossref_primary_10_1016_j_aej_2021_12_072 crossref_primary_10_1016_j_compbiomed_2023_107653 crossref_primary_10_1016_j_eswa_2023_121402 crossref_primary_10_3390_math10183368 crossref_primary_10_1007_s10462_022_10277_3 crossref_primary_10_37394_23202_2022_21_18 crossref_primary_10_1080_0952813X_2021_1924870 crossref_primary_10_1177_14613484241311951 crossref_primary_10_1016_j_asoc_2019_105723 crossref_primary_10_1093_jcde_qwac021 crossref_primary_10_1016_j_displa_2024_102727 crossref_primary_10_1016_j_knosys_2022_109326 crossref_primary_10_1007_s00366_021_01464_x crossref_primary_10_1016_j_chaos_2023_113672 crossref_primary_10_1016_j_bspc_2023_105423 crossref_primary_10_1016_j_compbiomed_2021_104910 crossref_primary_10_1016_j_bspc_2022_104373 crossref_primary_10_1016_j_enconman_2020_112764 crossref_primary_10_1016_j_compbiomed_2023_107544 crossref_primary_10_1007_s42235_023_00367_5 crossref_primary_10_1093_jcde_qwac014 crossref_primary_10_3233_JIFS_223907 crossref_primary_10_1007_s12539_021_00430_x crossref_primary_10_3390_app13137755 crossref_primary_10_1109_ACCESS_2024_3455550 crossref_primary_10_1007_s12065_024_00909_8 crossref_primary_10_1016_j_engappai_2022_104753 crossref_primary_10_1038_s41598_024_65292_x crossref_primary_10_3390_math10234509 crossref_primary_10_1007_s00521_021_05708_1 crossref_primary_10_32604_cmc_2022_021719 crossref_primary_10_1371_journal_pone_0222706 crossref_primary_10_1016_j_eswa_2019_112970 crossref_primary_10_1016_j_eswa_2021_114864 crossref_primary_10_1109_ACCESS_2020_2982796 crossref_primary_10_3390_math10071166 crossref_primary_10_1016_j_bspc_2024_107457 crossref_primary_10_1007_s11356_023_28777_2 crossref_primary_10_1109_ACCESS_2021_3077616 crossref_primary_10_1007_s00500_023_09038_3 crossref_primary_10_1155_2018_4231647 crossref_primary_10_1016_j_displa_2024_102740 crossref_primary_10_3390_e24081065 crossref_primary_10_1016_j_compbiomed_2023_107551 crossref_primary_10_1016_j_cie_2022_108032 crossref_primary_10_1371_journal_pone_0317224 crossref_primary_10_1155_2021_6315010 crossref_primary_10_1007_s11235_021_00833_7 crossref_primary_10_3934_mbe_2023195 crossref_primary_10_1016_j_engappai_2020_103779 crossref_primary_10_1155_2019_2039872 crossref_primary_10_3389_fpls_2021_789911 crossref_primary_10_1007_s42235_023_00408_z crossref_primary_10_1155_2020_8184254 crossref_primary_10_1093_jcde_qwac119 crossref_primary_10_1108_IJPCC_02_2021_0037 crossref_primary_10_1016_j_swevo_2020_100821 crossref_primary_10_1007_s10489_018_1267_2 crossref_primary_10_1155_2020_6084917 crossref_primary_10_1007_s00500_020_05227_6 crossref_primary_10_1016_j_compbiomed_2024_108035 crossref_primary_10_1016_j_knosys_2018_12_008 crossref_primary_10_1111_exsy_12854 crossref_primary_10_1093_jcde_qwae080 crossref_primary_10_1007_s10462_020_09909_3 crossref_primary_10_1007_s00366_020_00962_8 crossref_primary_10_1016_j_knosys_2020_106425 crossref_primary_10_1016_j_enconman_2022_116246 crossref_primary_10_3389_fninf_2022_1041799 crossref_primary_10_1109_ACCESS_2019_2918026 crossref_primary_10_1155_2019_9517568 crossref_primary_10_1016_j_asoc_2022_109682 crossref_primary_10_1109_ACCESS_2020_2981968 crossref_primary_10_1016_j_asoc_2019_04_044 crossref_primary_10_1016_j_compbiomed_2023_107212 crossref_primary_10_1016_j_eswa_2021_116417 crossref_primary_10_3390_math12223464 crossref_primary_10_1016_j_ijleo_2024_172115 crossref_primary_10_1007_s13748_021_00244_4 crossref_primary_10_1109_ACCESS_2020_2983451 crossref_primary_10_1007_s00521_021_05923_w crossref_primary_10_1016_j_compbiomed_2024_108600 crossref_primary_10_1088_1742_6596_2591_1_012050 crossref_primary_10_1007_s10462_021_10026_y crossref_primary_10_1016_j_eswa_2022_118642 crossref_primary_10_1016_j_displa_2024_102799 crossref_primary_10_1016_j_ces_2024_120507 crossref_primary_10_1142_S2737480724410024 crossref_primary_10_1016_j_eswa_2022_119041 crossref_primary_10_1007_s00371_021_02060_2 crossref_primary_10_1016_j_eswa_2021_115079 crossref_primary_10_1016_j_compbiomed_2021_105137 crossref_primary_10_1016_j_asoc_2024_111734 crossref_primary_10_1049_cit2_12345 crossref_primary_10_1016_j_jii_2022_100368 crossref_primary_10_1007_s12652_022_03731_1 crossref_primary_10_1016_j_compgeo_2023_105738 crossref_primary_10_1016_j_swevo_2022_101163 crossref_primary_10_1093_jcde_qwae050 crossref_primary_10_3390_pr10122615 crossref_primary_10_1007_s00366_020_00996_y crossref_primary_10_1016_j_bspc_2022_104511 crossref_primary_10_1016_j_knosys_2020_106510 crossref_primary_10_1016_j_knosys_2022_108411 crossref_primary_10_1016_j_matcom_2022_02_030 crossref_primary_10_1016_j_eswa_2020_113282 crossref_primary_10_1007_s12065_021_00567_0 crossref_primary_10_1049_rpg2_12451 crossref_primary_10_1093_jcde_qwae057 crossref_primary_10_1109_ACCESS_2020_2970992 crossref_primary_10_1109_ACCESS_2021_3058128 crossref_primary_10_1007_s10489_022_03171_6 crossref_primary_10_1016_j_compbiomed_2021_105181 crossref_primary_10_1093_jcde_qwad073 crossref_primary_10_1016_j_eswa_2020_113974 crossref_primary_10_1371_journal_pone_0294114 crossref_primary_10_3390_electronics11244224 crossref_primary_10_1007_s10489_022_04201_z crossref_primary_10_1016_j_asoc_2023_110091 crossref_primary_10_1038_s41598_024_63739_9 crossref_primary_10_1016_j_isci_2023_107736 crossref_primary_10_1016_j_asoc_2019_04_004 crossref_primary_10_1016_j_compbiomed_2024_108638 crossref_primary_10_1016_j_micpro_2022_104718 crossref_primary_10_1016_j_future_2020_04_008 crossref_primary_10_1007_s00366_020_00994_0 crossref_primary_10_1016_j_ijleo_2019_06_013 crossref_primary_10_1016_j_eswa_2022_119095 crossref_primary_10_1007_s00521_024_09879_5 crossref_primary_10_1016_j_bspc_2023_105147 crossref_primary_10_1016_j_suscom_2024_101035 crossref_primary_10_1007_s00500_023_08578_y crossref_primary_10_1007_s10489_023_04473_z crossref_primary_10_1186_s41074_020_00065_9 crossref_primary_10_1016_j_engappai_2021_104608 crossref_primary_10_1587_transinf_2018EDP7401 crossref_primary_10_1016_j_neucom_2023_126467 crossref_primary_10_1016_j_asoc_2024_111946 crossref_primary_10_1016_j_isatra_2021_09_014 crossref_primary_10_1155_2022_6215574 crossref_primary_10_1007_s10462_024_10923_y crossref_primary_10_1007_s10586_024_04716_9 crossref_primary_10_1093_jcde_qwac085 crossref_primary_10_3390_en15062267 crossref_primary_10_1186_s13640_020_0491_y crossref_primary_10_1093_jcde_qwac081 crossref_primary_10_1371_journal_pone_0291626 crossref_primary_10_1016_j_compbiomed_2024_108535 crossref_primary_10_1016_j_compbiomed_2022_105910 crossref_primary_10_1016_j_compbiomed_2023_107838 crossref_primary_10_1016_j_compbiomed_2021_105179 crossref_primary_10_3390_electronics9111786 crossref_primary_10_1007_s44196_022_00114_4 crossref_primary_10_1007_s11831_024_10218_z crossref_primary_10_1155_2021_5526127 crossref_primary_10_1016_j_compbiomed_2023_107392 crossref_primary_10_1109_ACCESS_2020_2978102 |
| Cites_doi | 10.1117/1.OE.54.7.073105 10.1109/TEVC.2010.2059031 10.1016/j.asoc.2016.05.007 10.1016/j.cad.2010.12.015 10.1016/j.asoc.2017.02.021 10.1016/j.engappai.2016.06.006 10.1109/TEVC.2007.895272 10.1016/j.imavis.2010.05.006 10.1016/j.neucom.2015.11.072 10.1016/j.asoc.2016.10.038 10.1109/IWCI.2016.7860370 10.1016/j.asoc.2016.11.047 10.1109/ICNN.1995.488968 10.1016/j.asoc.2016.02.041 10.1016/j.asoc.2007.05.007 10.1007/s10898-007-9149-x 10.1016/j.asoc.2014.03.043 10.1016/j.eswa.2016.02.034 10.1016/j.asoc.2012.11.026 10.1016/j.patcog.2016.06.032 10.1016/j.ijleo.2015.05.028 10.1016/j.asoc.2014.11.030 10.1016/j.ejor.2008.03.019 10.1016/j.cviu.2008.08.006 10.1016/j.ins.2015.11.032 10.1016/j.advengsoft.2017.01.004 10.1109/TCYB.2015.2490669 10.1109/TPAMI.2003.1195991 10.1023/A:1008202821328 10.1109/4235.585893 10.1016/j.eswa.2015.07.043 10.1049/iet-cvi.2012.0207 10.1109/TPAMI.2014.2388226 10.1016/j.advengsoft.2016.10.004 10.1145/1177352.1177355 10.1016/j.ins.2016.05.019 10.1109/4235.771163 10.1016/j.ins.2016.08.049 10.1016/j.asoc.2014.02.006 10.1016/j.asoc.2014.11.027 10.1109/TPAMI.2015.2509974 10.1016/j.energy.2017.03.054 10.1016/j.bica.2016.09.006 10.1016/j.renene.2016.04.030 10.1109/TCSVT.2011.2106253 10.1016/j.swevo.2016.01.004 10.1016/j.asoc.2012.05.019 10.1016/j.knosys.2015.12.022 10.1016/j.neucom.2016.06.048 |
| ContentType | Journal Article |
| Copyright | 2017 Elsevier B.V. |
| Copyright_xml | – notice: 2017 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.asoc.2017.09.039 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-9681 |
| EndPage | 1043 |
| ExternalDocumentID | 10_1016_j_asoc_2017_09_039 S1568494617305781 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W JJJVA KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SES SEW SPC SPCBC SST SSV SSZ T5K UHS UNMZH ~G- AATTM AAXKI AAYWO AAYXX ABWVN ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AFXIZ AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP BNPGV CITATION SSH |
| ID | FETCH-LOGICAL-c339t-4a222fece7bc57ec02d26fe9fdf7dbddfbcb5f7269c563590b3dd4381d2f13a83 |
| IEDL.DBID | .~1 |
| ISSN | 1568-4946 |
| IngestDate | Tue Jul 01 01:49:59 EDT 2025 Thu Apr 24 22:56:12 EDT 2025 Fri Feb 23 02:24:50 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Hybrid SCA-DE Meta-heuristic Object tracking Optimization Stability of DE Population-based algorithm |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c339t-4a222fece7bc57ec02d26fe9fdf7dbddfbcb5f7269c563590b3dd4381d2f13a83 |
| PageCount | 25 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_asoc_2017_09_039 crossref_primary_10_1016_j_asoc_2017_09_039 elsevier_sciencedirect_doi_10_1016_j_asoc_2017_09_039 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | January 2018 2018-01-00 |
| PublicationDateYYYYMMDD | 2018-01-01 |
| PublicationDate_xml | – month: 01 year: 2018 text: January 2018 |
| PublicationDecade | 2010 |
| PublicationTitle | Applied soft computing |
| PublicationYear | 2018 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Li, Wang, Li, Jiao, Zhang, Stolkin (bib0075) 2016; 372 Kommadath, Dondeti, Kotecha (bib0200) 2017 Li, Wang, Yan, Li (bib0125) 2015; 42 Jamil, Yang (bib0240) 2013; 4 Karaboga, Basturk (bib0025) 2007; 39 Zhu, Zhang (bib0245) 2017; 51 Gao, Li, Sun, Yin, Li, Luo (bib0155) 2015; 126 Gao, Yin, Zou, Li, Liu (bib0170) 2015; 54 Yi, Jiang, Feng, Wang, Liu (bib0280) 2016; 364–365 Gopal, Bansal (bib0210) 2016 Ghorbani, Babaei (bib0060) 2014; 19 Pham (bib0095) 2016; 102 Wu, Lim, Yang (bib0285) 2015; 37 Comaniciu (bib0265) 2003; 25 Eita, Fahmy (bib0065) 2014; 22 Gao, Shen, Yin, Liu, Zou, Li, Fu (bib0160) 2016; 177 Rao, Savsani, Vakharia (bib0050) 2011; 43 Sahu, Pati, Mohanty, Panda (bib0100) 2015; 27 Gao, He, Luo, Jiang, Teng (bib0175) 2013; 7 Fourie, Mills, Green (bib0180) 2010; 28 Das, Mullick, Suganthan (bib0040) 2016; 27 Skoullis, Tassopoulos, Beligiannis (bib0120) 2017; 52 Dwivedi, Ghosh, Londhe (bib0085) 2016; 55 Dorigo, Birattari (bib0035) 2010 Ali, Awad, Suganthan, Duwairi, Reynolds (bib0140) 2016; 334–335 Melanie (bib0010) 1999 Georgive, Jordanov (bib0005) 2009; 196 Mirjalili (bib0195) 2016; 96 Porwik, Doroz, Orczyk (bib0080) 2016; 60 Yilmaz, Javed, Shah (bib0255) 2006; 38 Rajan, Malakar (bib0110) 2016; 43 Nasir, Tokhi (bib0130) 2015; 27 Chen, Zhang, Liu (bib0275) 2016; 214 Kennedy, Eberhart (bib0015) 1995; 4 Lopez-Garcia, Onieva, Osaba, Masegosa, Perallos (bib0135) 2016; 55 Yao, Liu, Lin (bib0235) 1999; 3 Engelbrecht (bib0020) 2005 Wang, Zhang, Zhang (bib0230) 2016; 46 Price, Storn, Lampinen (bib0220) 2005 Thida, Eng, Monekosso, Remagnino (bib0165) 2013; 13 Hare (bib0270) 2016; 38 Bid́egaray-Fesquet (bib0205) 2008 Saremi, Mirjalili, Lewis (bib0070) 2017; 105 Noman, Iba (bib0045) 2008; 12 Fathy (bib0105) 2016; 95 Sokhandan, Monadjemi (bib0260) 2016; 18 Zhou, Yuan, Shi (bib0190) 2009; 113 Khan, Baig (bib0090) 2017; 55 Khan, Gu, Backhouse (bib0185) 2011; 21 Zhong, Li, Zhong (bib0145) 2016; 46 Cannons (bib0250) 2008 Karaboga, Basturk (bib0030) 2008; 8 Wolpert, Macready (bib0115) 1997; 1 Beigvand, Abdi, La Scala (bib0150) 2017; 126 Sadollah, Bahreininejad, Eskandar, Hamdi (bib0055) 2013; 13 Storn, Price (bib0225) 1997; 11 Das, Suganthan (bib0215) 2011; 15 Zhu (10.1016/j.asoc.2017.09.039_bib0245) 2017; 51 Beigvand (10.1016/j.asoc.2017.09.039_bib0150) 2017; 126 Gopal (10.1016/j.asoc.2017.09.039_bib0210) 2016 Storn (10.1016/j.asoc.2017.09.039_bib0225) 1997; 11 Khan (10.1016/j.asoc.2017.09.039_bib0090) 2017; 55 Gao (10.1016/j.asoc.2017.09.039_bib0175) 2013; 7 Porwik (10.1016/j.asoc.2017.09.039_bib0080) 2016; 60 Zhong (10.1016/j.asoc.2017.09.039_bib0145) 2016; 46 Sahu (10.1016/j.asoc.2017.09.039_bib0100) 2015; 27 Cannons (10.1016/j.asoc.2017.09.039_bib0250) 2008 Fourie (10.1016/j.asoc.2017.09.039_bib0180) 2010; 28 Sokhandan (10.1016/j.asoc.2017.09.039_bib0260) 2016; 18 Khan (10.1016/j.asoc.2017.09.039_bib0185) 2011; 21 Zhou (10.1016/j.asoc.2017.09.039_bib0190) 2009; 113 Price (10.1016/j.asoc.2017.09.039_bib0220) 2005 Lopez-Garcia (10.1016/j.asoc.2017.09.039_bib0135) 2016; 55 Kommadath (10.1016/j.asoc.2017.09.039_bib0200) 2017 Das (10.1016/j.asoc.2017.09.039_bib0040) 2016; 27 Mirjalili (10.1016/j.asoc.2017.09.039_bib0195) 2016; 96 Saremi (10.1016/j.asoc.2017.09.039_bib0070) 2017; 105 Kennedy (10.1016/j.asoc.2017.09.039_bib0015) 1995; 4 Thida (10.1016/j.asoc.2017.09.039_bib0165) 2013; 13 Wang (10.1016/j.asoc.2017.09.039_bib0230) 2016; 46 Li (10.1016/j.asoc.2017.09.039_bib0075) 2016; 372 Pham (10.1016/j.asoc.2017.09.039_bib0095) 2016; 102 Noman (10.1016/j.asoc.2017.09.039_bib0045) 2008; 12 Wu (10.1016/j.asoc.2017.09.039_bib0285) 2015; 37 Dorigo (10.1016/j.asoc.2017.09.039_bib0035) 2010 Yao (10.1016/j.asoc.2017.09.039_bib0235) 1999; 3 Eita (10.1016/j.asoc.2017.09.039_bib0065) 2014; 22 Gao (10.1016/j.asoc.2017.09.039_bib0155) 2015; 126 Hare (10.1016/j.asoc.2017.09.039_bib0270) 2016; 38 Melanie (10.1016/j.asoc.2017.09.039_bib0010) 1999 Comaniciu (10.1016/j.asoc.2017.09.039_bib0265) 2003; 25 Sadollah (10.1016/j.asoc.2017.09.039_bib0055) 2013; 13 Rajan (10.1016/j.asoc.2017.09.039_bib0110) 2016; 43 Georgive (10.1016/j.asoc.2017.09.039_bib0005) 2009; 196 Yi (10.1016/j.asoc.2017.09.039_bib0280) 2016; 364–365 Dwivedi (10.1016/j.asoc.2017.09.039_bib0085) 2016; 55 Yilmaz (10.1016/j.asoc.2017.09.039_bib0255) 2006; 38 Li (10.1016/j.asoc.2017.09.039_bib0125) 2015; 42 Rao (10.1016/j.asoc.2017.09.039_bib0050) 2011; 43 Bid́egaray-Fesquet (10.1016/j.asoc.2017.09.039_bib0205) 2008 Wolpert (10.1016/j.asoc.2017.09.039_bib0115) 1997; 1 Nasir (10.1016/j.asoc.2017.09.039_bib0130) 2015; 27 Gao (10.1016/j.asoc.2017.09.039_bib0160) 2016; 177 Chen (10.1016/j.asoc.2017.09.039_bib0275) 2016; 214 Ali (10.1016/j.asoc.2017.09.039_bib0140) 2016; 334–335 Das (10.1016/j.asoc.2017.09.039_bib0215) 2011; 15 Jamil (10.1016/j.asoc.2017.09.039_bib0240) 2013; 4 Karaboga (10.1016/j.asoc.2017.09.039_bib0025) 2007; 39 Engelbrecht (10.1016/j.asoc.2017.09.039_bib0020) 2005 Fathy (10.1016/j.asoc.2017.09.039_bib0105) 2016; 95 Ghorbani (10.1016/j.asoc.2017.09.039_bib0060) 2014; 19 Skoullis (10.1016/j.asoc.2017.09.039_bib0120) 2017; 52 Karaboga (10.1016/j.asoc.2017.09.039_bib0030) 2008; 8 Gao (10.1016/j.asoc.2017.09.039_bib0170) 2015; 54 |
| References_xml | – volume: 3 start-page: 82 year: 1999 end-page: 102 ident: bib0235 article-title: Evolutionary programming made faster publication-title: IEEE Trans. Evol. Comput. – volume: 4 start-page: 1942 year: 1995 end-page: 1948 ident: bib0015 article-title: Particle swarm optimization publication-title: Proc Int. Conf. Neural Netw. – volume: 60 start-page: 998 year: 2016 end-page: 1014 ident: bib0080 article-title: Signatures verification based on PNN classifier optimised by PSO algorithm publication-title: Pattern Recogn. – volume: 334–335 start-page: 219 year: 2016 end-page: 249 ident: bib0140 article-title: A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization publication-title: Inf. Sci. – volume: 54 year: 2015 ident: bib0170 article-title: Visual tracking method based on cuckoo search algorithm publication-title: Opt. Eng. – start-page: 31 year: 2017 end-page: 34 ident: bib0200 article-title: Benchmarking JAYA and sine cosine algorithm on real parameter bound constrained single objective optimization problems (CEC2016) publication-title: ISMSI ‘17 Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence – volume: 102 start-page: 142 year: 2016 end-page: 154 ident: bib0095 article-title: Truss optimization with frequency constraints using enhanced differential evolution based on adaptive directional mutation and nearest neighbor comparison publication-title: Adv. Eng. Softw. – volume: 51 start-page: 294 year: 2017 end-page: 313 ident: bib0245 article-title: Optimal foraging algorithm for global optimization publication-title: Appl. Soft Comput. – year: 2008 ident: bib0250 article-title: A Review of Visual Tracking, Tech. Rep. CSE-2008-07 – volume: 105 start-page: 30 year: 2017 end-page: 47 ident: bib0070 article-title: Grasshopper optimisation algorithm: theory and application publication-title: Adv. Eng. Softw. – volume: 38 start-page: 1 year: 2006 end-page: 45 ident: bib0255 article-title: Object tracking: a survey publication-title: ACM Comput. Surv. – volume: 43 start-page: 303 year: 2011 end-page: 315 ident: bib0050 article-title: Teaching learning based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput.-Aided Des. – volume: 364–365 start-page: 33 year: 2016 end-page: 50 ident: bib0280 article-title: Online similarity learning for visual tracking publication-title: Inf. Sci. – volume: 18 start-page: 68 year: 2016 end-page: 79 ident: bib0260 article-title: A novel biologically inspired computational framework for visual tracking task publication-title: Biol. Inspired Cognit. Archit. – volume: 46 start-page: 2848 year: 2016 end-page: 2861 ident: bib0230 article-title: Cooperative differential evolution with multiple populations for multiobjective optimization publication-title: IEEE Trans. Cybern. – volume: 55 start-page: 508 year: 2016 end-page: 519 ident: bib0135 article-title: GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization publication-title: Expert Syst. Appl. – volume: 196 start-page: 413 year: 2009 end-page: 422 ident: bib0005 article-title: Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithm publication-title: Eur. J. Oper. Res. – year: 2005 ident: bib0220 article-title: Differential Evolution −A Practical Approach to Global Optimization – year: 2005 ident: bib0020 article-title: Fundamentals of Computational Swarm Intelligence – volume: 177 start-page: 612 year: 2016 end-page: 619 ident: bib0160 article-title: A novel visual tracking method using bat algorithm publication-title: Neurocomputing – start-page: 36 year: 2010 end-page: 39 ident: bib0035 article-title: Ant Colony Optimization, Encyclopedia of Machine Learning – volume: 28 start-page: 1702 year: 2010 end-page: 1716 ident: bib0180 article-title: Harmony filter: a robust visual tracking system using the improved harmony search algorithm publication-title: Image Vision Comput. – volume: 8 start-page: 687 year: 2008 end-page: 697 ident: bib0030 article-title: On the performance of artificial bee colony (ABC) algorithm publication-title: Appl. Soft Comput. – volume: 43 start-page: 320 year: 2016 end-page: 336 ident: bib0110 article-title: Exchange market algorithm based optimum reactive power dispatch publication-title: Appl. Soft Comput. – volume: 21 start-page: 74 year: 2011 end-page: 87 ident: bib0185 article-title: Robust visual object tracking using multi-Mode anisotropic mean shift and particle filters publication-title: IEEE Trans. Circuits Syst. Video Technol. – year: 2008 ident: bib0205 article-title: Von Neumann Stability Analysis of Finite Difference Schemes for Maxwell-Debye and Maxwell-Lorentz Equations, 1077-M. English translation of version 1 – volume: 13 start-page: 3106 year: 2013 end-page: 3117 ident: bib0165 article-title: A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets publication-title: Appl. Soft Comput. – volume: 38 start-page: 2096 year: 2016 end-page: 2109 ident: bib0270 article-title: Struck: structured output tracking with kernels publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 27 start-page: 240 year: 2015 end-page: 249 ident: bib0100 article-title: Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system publication-title: Appl. Soft Comput. – volume: 52 start-page: 277 year: 2017 end-page: 289 ident: bib0120 article-title: Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm publication-title: Appl. Soft Comput. – volume: 25 start-page: 564 year: 2003 end-page: 577 ident: bib0265 article-title: Visvanathan ramesh, and peter meer, kernel-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 37 start-page: 1834 year: 2015 end-page: 1848 ident: bib0285 article-title: Object tracking benchmark publication-title: IEEE Trans. Pattern Anal. – volume: 126 start-page: 1705 year: 2015 end-page: 1711 ident: bib0155 article-title: Firefly algorithm (FA) based particle filter method for visual tracking publication-title: Optik – volume: 39 start-page: 459 year: 2007 end-page: 471 ident: bib0025 article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm publication-title: J. Glob. Optim. – volume: 113 start-page: 345 year: 2009 end-page: 352 ident: bib0190 article-title: Object tracking using SIFT features and mean shift publication-title: Comput. Vision Image Understanding – volume: 7 start-page: 227 year: 2013 end-page: 237 ident: bib0175 article-title: Object tracking using firefly algorithm publication-title: IET Comput. Vis. – volume: 55 start-page: 58 year: 2016 end-page: 69 ident: bib0085 article-title: Low power FIR filter design using modified multi-objective artificial bee colony algorithm publication-title: Eng. Appl. Artif. Intell. – volume: 55 start-page: 462 year: 2017 end-page: 479 ident: bib0090 article-title: Ant colony optimization based hierarchical multi-label classification algorithm publication-title: Appl. Soft Comput. – volume: 1 start-page: 67 year: 1997 end-page: 82 ident: bib0115 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. – volume: 27 start-page: 357 year: 2015 end-page: 375 ident: bib0130 article-title: Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation publication-title: Appl. Soft Comput. – volume: 126 start-page: 841 year: 2017 end-page: 853 ident: bib0150 article-title: Hybrid gravitational search algorithm-Particle swarm optimization with time varying acceleration coefficients for large scale CHPED problem publication-title: Energy – year: 1999 ident: bib0010 article-title: An Introduction to Genetic Algorithms – volume: 95 start-page: 367 year: 2016 end-page: 380 ident: bib0105 article-title: A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt publication-title: Renew. Energy – volume: 372 start-page: 196 year: 2016 end-page: 207 ident: bib0075 article-title: Single image super-resolution reconstruction based on genetic algorithm and regularization prior model publication-title: Inf. Sci. – volume: 13 start-page: 2592 year: 2013 end-page: 2612 ident: bib0055 article-title: Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems publication-title: Appl. Soft Comput. – volume: 22 start-page: 585 year: 2014 end-page: 604 ident: bib0065 article-title: Group counseling optimization publication-title: Appl. Soft Comput. – volume: 15 start-page: 4 year: 2011 end-page: 31 ident: bib0215 article-title: Differential evolution: a survey of the state-of-the-Art publication-title: IEEE Trans. Evol. Comput. – volume: 27 start-page: 1 year: 2016 end-page: 30 ident: bib0040 article-title: Recent advances in differential evolution–An updated survey publication-title: Swarm Evol. Comput. – volume: 46 start-page: 469 year: 2016 end-page: 486 ident: bib0145 article-title: A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization publication-title: Appl. Soft Comput. – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0225 article-title: Differential Evolution−A simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. – volume: 42 start-page: 8881 year: 2015 end-page: 8895 ident: bib0125 article-title: PS-ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems publication-title: Expert Syst. Appl. – volume: 12 start-page: 107 year: 2008 end-page: 125 ident: bib0045 article-title: Accelerating differential evolution using an adaptive local search publication-title: IEEE Trans. Evol. Comput. – volume: 214 start-page: 607 year: 2016 end-page: 617 ident: bib0275 article-title: Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble publication-title: Neurocomputing – volume: 96 start-page: 120 year: 2016 end-page: 133 ident: bib0195 article-title: SCA: a sine cosine algorithm for solving optimization problems publication-title: Knowl.-Based Syst. – volume: 4 start-page: 150 year: 2013 end-page: 194 ident: bib0240 article-title: A literature survey of benchmark functions for global optimization problems publication-title: Int. J. Math. Modell. Numer. Optim. – volume: 19 start-page: 177 year: 2014 end-page: 187 ident: bib0060 article-title: Exchange market algorithm publication-title: Appl. Soft Comput. – year: 2016 ident: bib0210 article-title: Stability analysis of differential evolution publication-title: 2016 International Workshop on Computational Intelligence (IWCI) – volume: 54 issue: 7 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0170 article-title: Visual tracking method based on cuckoo search algorithm publication-title: Opt. Eng. doi: 10.1117/1.OE.54.7.073105 – volume: 15 start-page: 4 issue: 1 year: 2011 ident: 10.1016/j.asoc.2017.09.039_bib0215 article-title: Differential evolution: a survey of the state-of-the-Art publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2010.2059031 – volume: 46 start-page: 469 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0145 article-title: A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.05.007 – volume: 43 start-page: 303 issue: 3 year: 2011 ident: 10.1016/j.asoc.2017.09.039_bib0050 article-title: Teaching learning based optimization: a novel method for constrained mechanical design optimization problems publication-title: Comput.-Aided Des. doi: 10.1016/j.cad.2010.12.015 – volume: 4 start-page: 150 issue: 2 year: 2013 ident: 10.1016/j.asoc.2017.09.039_bib0240 article-title: A literature survey of benchmark functions for global optimization problems publication-title: Int. J. Math. Modell. Numer. Optim. – volume: 55 start-page: 462 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0090 article-title: Ant colony optimization based hierarchical multi-label classification algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.02.021 – volume: 55 start-page: 58 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0085 article-title: Low power FIR filter design using modified multi-objective artificial bee colony algorithm publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2016.06.006 – year: 2005 ident: 10.1016/j.asoc.2017.09.039_bib0020 – volume: 12 start-page: 107 issue: 1 year: 2008 ident: 10.1016/j.asoc.2017.09.039_bib0045 article-title: Accelerating differential evolution using an adaptive local search publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2007.895272 – volume: 28 start-page: 1702 year: 2010 ident: 10.1016/j.asoc.2017.09.039_bib0180 article-title: Harmony filter: a robust visual tracking system using the improved harmony search algorithm publication-title: Image Vision Comput. doi: 10.1016/j.imavis.2010.05.006 – volume: 177 start-page: 612 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0160 article-title: A novel visual tracking method using bat algorithm publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.11.072 – year: 2008 ident: 10.1016/j.asoc.2017.09.039_bib0250 – volume: 52 start-page: 277 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0120 article-title: Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.10.038 – start-page: 31 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0200 article-title: Benchmarking JAYA and sine cosine algorithm on real parameter bound constrained single objective optimization problems (CEC2016) – year: 2008 ident: 10.1016/j.asoc.2017.09.039_bib0205 – year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0210 article-title: Stability analysis of differential evolution publication-title: 2016 International Workshop on Computational Intelligence (IWCI) doi: 10.1109/IWCI.2016.7860370 – volume: 51 start-page: 294 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0245 article-title: Optimal foraging algorithm for global optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.11.047 – volume: 4 start-page: 1942 year: 1995 ident: 10.1016/j.asoc.2017.09.039_bib0015 article-title: Particle swarm optimization publication-title: Proc Int. Conf. Neural Netw. doi: 10.1109/ICNN.1995.488968 – volume: 43 start-page: 320 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0110 article-title: Exchange market algorithm based optimum reactive power dispatch publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2016.02.041 – year: 1999 ident: 10.1016/j.asoc.2017.09.039_bib0010 – volume: 8 start-page: 687 year: 2008 ident: 10.1016/j.asoc.2017.09.039_bib0030 article-title: On the performance of artificial bee colony (ABC) algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2007.05.007 – volume: 39 start-page: 459 issue: 3 year: 2007 ident: 10.1016/j.asoc.2017.09.039_bib0025 article-title: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm publication-title: J. Glob. Optim. doi: 10.1007/s10898-007-9149-x – volume: 22 start-page: 585 year: 2014 ident: 10.1016/j.asoc.2017.09.039_bib0065 article-title: Group counseling optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.03.043 – volume: 55 start-page: 508 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0135 article-title: GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2016.02.034 – volume: 13 start-page: 2592 issue: 5 year: 2013 ident: 10.1016/j.asoc.2017.09.039_bib0055 article-title: Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.11.026 – volume: 60 start-page: 998 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0080 article-title: Signatures verification based on PNN classifier optimised by PSO algorithm publication-title: Pattern Recogn. doi: 10.1016/j.patcog.2016.06.032 – volume: 126 start-page: 1705 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0155 article-title: Firefly algorithm (FA) based particle filter method for visual tracking publication-title: Optik doi: 10.1016/j.ijleo.2015.05.028 – volume: 27 start-page: 357 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0130 article-title: Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.11.030 – volume: 196 start-page: 413 issue: 2 year: 2009 ident: 10.1016/j.asoc.2017.09.039_bib0005 article-title: Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithm publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2008.03.019 – volume: 113 start-page: 345 year: 2009 ident: 10.1016/j.asoc.2017.09.039_bib0190 article-title: Object tracking using SIFT features and mean shift publication-title: Comput. Vision Image Understanding doi: 10.1016/j.cviu.2008.08.006 – start-page: 36 year: 2010 ident: 10.1016/j.asoc.2017.09.039_bib0035 – volume: 334–335 start-page: 219 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0140 article-title: A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2015.11.032 – volume: 105 start-page: 30 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0070 article-title: Grasshopper optimisation algorithm: theory and application publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2017.01.004 – volume: 46 start-page: 2848 issue: 12 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0230 article-title: Cooperative differential evolution with multiple populations for multiobjective optimization publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2015.2490669 – volume: 25 start-page: 564 issue: 5 year: 2003 ident: 10.1016/j.asoc.2017.09.039_bib0265 article-title: Visvanathan ramesh, and peter meer, kernel-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1195991 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.asoc.2017.09.039_bib0225 article-title: Differential Evolution−A simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. doi: 10.1023/A:1008202821328 – volume: 1 start-page: 67 issue: 1 year: 1997 ident: 10.1016/j.asoc.2017.09.039_bib0115 article-title: No free lunch theorems for optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585893 – volume: 42 start-page: 8881 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0125 article-title: PS-ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2015.07.043 – volume: 7 start-page: 227 issue: 4 year: 2013 ident: 10.1016/j.asoc.2017.09.039_bib0175 article-title: Object tracking using firefly algorithm publication-title: IET Comput. Vis. doi: 10.1049/iet-cvi.2012.0207 – volume: 37 start-page: 1834 issue: 9 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0285 article-title: Object tracking benchmark publication-title: IEEE Trans. Pattern Anal. doi: 10.1109/TPAMI.2014.2388226 – volume: 102 start-page: 142 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0095 article-title: Truss optimization with frequency constraints using enhanced differential evolution based on adaptive directional mutation and nearest neighbor comparison publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2016.10.004 – volume: 38 start-page: 1 issue: 4 year: 2006 ident: 10.1016/j.asoc.2017.09.039_bib0255 article-title: Object tracking: a survey publication-title: ACM Comput. Surv. doi: 10.1145/1177352.1177355 – volume: 364–365 start-page: 33 issue: 2016 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0280 article-title: Online similarity learning for visual tracking publication-title: Inf. Sci. doi: 10.1016/j.ins.2016.05.019 – volume: 3 start-page: 82 issue: 2 year: 1999 ident: 10.1016/j.asoc.2017.09.039_bib0235 article-title: Evolutionary programming made faster publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.771163 – volume: 372 start-page: 196 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0075 article-title: Single image super-resolution reconstruction based on genetic algorithm and regularization prior model publication-title: Inf. Sci. doi: 10.1016/j.ins.2016.08.049 – year: 2005 ident: 10.1016/j.asoc.2017.09.039_bib0220 – volume: 19 start-page: 177 year: 2014 ident: 10.1016/j.asoc.2017.09.039_bib0060 article-title: Exchange market algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.02.006 – volume: 27 start-page: 240 year: 2015 ident: 10.1016/j.asoc.2017.09.039_bib0100 article-title: Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.11.027 – volume: 38 start-page: 2096 issue: 10 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0270 article-title: Struck: structured output tracking with kernels publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2509974 – volume: 126 start-page: 841 year: 2017 ident: 10.1016/j.asoc.2017.09.039_bib0150 article-title: Hybrid gravitational search algorithm-Particle swarm optimization with time varying acceleration coefficients for large scale CHPED problem publication-title: Energy doi: 10.1016/j.energy.2017.03.054 – volume: 18 start-page: 68 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0260 article-title: A novel biologically inspired computational framework for visual tracking task publication-title: Biol. Inspired Cognit. Archit. doi: 10.1016/j.bica.2016.09.006 – volume: 95 start-page: 367 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0105 article-title: A reliable methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt publication-title: Renew. Energy doi: 10.1016/j.renene.2016.04.030 – volume: 21 start-page: 74 issue: 1 year: 2011 ident: 10.1016/j.asoc.2017.09.039_bib0185 article-title: Robust visual object tracking using multi-Mode anisotropic mean shift and particle filters publication-title: IEEE Trans. Circuits Syst. Video Technol. doi: 10.1109/TCSVT.2011.2106253 – volume: 27 start-page: 1 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0040 article-title: Recent advances in differential evolution–An updated survey publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2016.01.004 – volume: 13 start-page: 3106 year: 2013 ident: 10.1016/j.asoc.2017.09.039_bib0165 article-title: A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2012.05.019 – volume: 96 start-page: 120 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0195 article-title: SCA: a sine cosine algorithm for solving optimization problems publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2015.12.022 – volume: 214 start-page: 607 year: 2016 ident: 10.1016/j.asoc.2017.09.039_bib0275 article-title: Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble publication-title: Neurocomputing doi: 10.1016/j.neucom.2016.06.048 |
| SSID | ssj0016928 |
| Score | 2.6182096 |
| Snippet | [Display omitted]
•A novel Hybrid SCA-DE algorithm is introduced for global optimization and object tracking.•The proposed hybrid algorithm has better... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 1019 |
| SubjectTerms | Hybrid SCA-DE Meta-heuristic Object tracking Optimization Population-based algorithm Stability of DE |
| Title | Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking |
| URI | https://dx.doi.org/10.1016/j.asoc.2017.09.039 |
| Volume | 62 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5KvXjxLdZH2YM3iU2T3aR7LMVSX0XUQm9hX9FK25QSBT34251JNkVBPJjLkjAD4dvZmdlhHoScBn5kVRoxT0gtPcYM9xQLmRdyX8bwRIHBOOTtMBqM2NWYj2ukV9XCYFql0_2lTi-0tfvScmi2FpNJ6wFuHh0mGJhgkNm4KL9mLEYpP_9cpXm0I1HMV0ViD6ld4UyZ4yUBAUzvistep-J34_TN4PS3yIbzFGm3_JltUrPzHbJZTWGg7lDuksngHauuJh9ghChmsVOdFYucPmVw9X-eUQy20moUChzpKbVvTuQoOK207ApCM1AfM1eXSeXc0ExhlIbmS6kxor5HRv2Lx97AcwMUPB2GIveYBOufWm1jpXlstR-YIEqtSE0aG2VMqrTiaRxEQnNwPISvQmOw55cJ0nYoO-E-qc-zuT0g1CiJ9QoAtIkYx05Nge5obgXnxmipGqRdIZdo110ch1xMkyqN7CVBtBNEO_FFAmg3yNmKZ1H21viTmlcbkvyQkASU_x98h__kOyLr8NYpwy3HpJ4vX-0JOCC5ahYS1iRr3d79zR2ul9eD4RcfuN9Y |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9wwEB5ReqCXPnio9EF9gBMKm3XsJD70UBXQ8rwAEjfjV9pUywYtoRU99E_1D3Zm4yAqVRwqkUukJI6S8ej77NE3MwDrPM2DrXKRKONMIoSXiRWZSDKZmgKPnHuKQx4d56MzsX8uz-fgd58LQ7LKiP0dps_QOl4ZRGsOrup6cII7j1IogRSMPluUw6isPAi3P3Dfdv1xbxsneYPz3Z3Tz6MkthZIXJapNhEGebEKLhTWySK4lHueV0FVviq89b6yzsqq4LlyEilZpTbznqpheV4NM1Nm-N4n8FQgXFDbhK1fd7qSYa5mDV3p6xL6vJip04nKDJqc9GRFV1xV_ZsN7zHc7kt4Hpem7FP3969gLkwW4UXf9oFFFFiCenRLaV71T2Q9RrJ55prZyYy_NNO6_XrJKLrL-t4riCFjFr5HH2e4SmZdGRLWIF5dxkRQZiaeNZbCQqydGkch_GU4exSzrsD8pJmE18C8NZQggTPrcyGpNBR3pZNBSem9M3YVhr3ltIvlzKmrxlj3urVvmqytydo6VRqtvQqbd2OuumIeDz4t-wnRf7mkRrZ5YNyb_xz3ARZGp0eH-nDv-OAtPMM7ZRfreQfz7fQmvMfVT2vXZt7G4OKx3fsP8nUb6A |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Hybridizing+sine+cosine+algorithm+with+differential+evolution+for+global+optimization+and+object+tracking&rft.jtitle=Applied+soft+computing&rft.au=Nenavath%2C+Hathiram&rft.au=Jatoth%2C+Ravi+Kumar&rft.date=2018-01-01&rft.issn=1568-4946&rft.volume=62&rft.spage=1019&rft.epage=1043&rft_id=info:doi/10.1016%2Fj.asoc.2017.09.039&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_asoc_2017_09_039 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1568-4946&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1568-4946&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1568-4946&client=summon |