Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems

We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algor...

Full description

Saved in:
Bibliographic Details
Published inAdvances in Natural Computation pp. 582 - 591
Main Authors Parsopoulos, K. E., Vrahatis, M. N.
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Design Variable
Exact sciences and technology
Gear Train
Particle Swarm Optimization
Particle Swarm Optimization Method
Penalty Function
Penalty function
Optimization method
Problem solving
Feasibility
Swarm intelligence
Constrained optimization
Mathematical programming
Online AccessGet full text

Cover

Abstract We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algorithm is illustrated on four well–known engineering problems with promising results. Comparisons with the standard local and global variant of Particle Swarm Optimization are reported and discussed.
AbstractList We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algorithm is illustrated on four well–known engineering problems with promising results. Comparisons with the standard local and global variant of Particle Swarm Optimization are reported and discussed.
Author Vrahatis, M. N.
Parsopoulos, K. E.
Author_xml – sequence: 1
  givenname: K. E.
  surname: Parsopoulos
  fullname: Parsopoulos, K. E.
  email: kostasp@math.upatras.gr
  organization: Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras, Patras, Greece
– sequence: 2
  givenname: M. N.
  surname: Vrahatis
  fullname: Vrahatis, M. N.
  email: vrahatis@math.upatras.gr
  organization: University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Patras, Greece
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17135883$$DView record in Pascal Francis
BookMark eNpVUMtOwzAQNFAk2tITP5ALBw6BXTuJ7SOqykOq1EotRxQ5qV0ZUjuyIxB8PYnKAfYy0uzManYmZOS804RcIdwiAL9DzJmUQEuOJ2TC8gwYioLhKRljgZgylskzMpNcDDsqGAUckTEwoKnkGbsgsxjfoB-GBdBiTF5fnDVW75K1Cp2tG51sPlU4JKu2swf7rTrrXWJ8SDa--bBun8y9i11Q1vWehdv3qMPA_zOsg68afYiX5NyoJurZL07J9mGxnT-ly9Xj8_x-mbYUZZeKneqTag681tJkklNTGKB1JqGqhNC8ynOJUpj-EdPTGa-QGmmA56rGgk3J9fFsq2KtGhOUq20s22APKnyVyJHlQrBed3PUxXbIrENZef8eS4RyqLf8Uy_7ASxjabk
ContentType Book Chapter
Conference Proceeding
Copyright Springer-Verlag Berlin Heidelberg 2005
2005 INIST-CNRS
Copyright_xml – notice: Springer-Verlag Berlin Heidelberg 2005
– notice: 2005 INIST-CNRS
DBID IQODW
DOI 10.1007/11539902_71
DatabaseName Pascal-Francis
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
Applied Sciences
EISBN 3540318631
9783540318637
EISSN 1611-3349
Editor Wang, Lipo
Ong, Yew Soon
Chen, Ke
Editor_xml – sequence: 1
  givenname: Lipo
  surname: Wang
  fullname: Wang, Lipo
  email: elpwang@ntu.edu.sg
– sequence: 2
  givenname: Ke
  surname: Chen
  fullname: Chen, Ke
  email: chenk@cs.zju.edu.cn
– sequence: 3
  givenname: Yew Soon
  surname: Ong
  fullname: Ong, Yew Soon
  email: asysong@ntu.edu.sg
EndPage 591
ExternalDocumentID 17135883
GroupedDBID -DT
-GH
-~X
1SB
29L
2HA
2HV
5QI
875
AASHB
ABMNI
ACGFS
ADCXD
AEFIE
ALMA_UNASSIGNED_HOLDINGS
EJD
F5P
FEDTE
HVGLF
LAS
LDH
P2P
RIG
RNI
RSU
SVGTG
VI1
~02
IQODW
ID FETCH-LOGICAL-p219t-8da320e707ce9f4972f6f02c490bb88e7b559198f030f2c447b12f9f075ac163
ISBN 9783540283201
354028320X
3540283234
9783540283232
ISSN 0302-9743
IngestDate Wed Apr 02 07:27:15 EDT 2025
Tue Jul 29 20:02:08 EDT 2025
IsPeerReviewed true
IsScholarly true
Keywords Penalty function
Optimization method
Problem solving
Feasibility
Swarm intelligence
Constrained optimization
Mathematical programming
Language English
License CC BY 4.0
LinkModel OpenURL
MeetingName Advances in natural computation (Changsha, 27-29 August 2005)
MergedId FETCHMERGED-LOGICAL-p219t-8da320e707ce9f4972f6f02c490bb88e7b559198f030f2c447b12f9f075ac163
PageCount 10
ParticipantIDs pascalfrancis_primary_17135883
springer_books_10_1007_11539902_71
PublicationCentury 2000
PublicationDate 2005
PublicationDateYYYYMMDD 2005-01-01
PublicationDate_xml – year: 2005
  text: 2005
PublicationDecade 2000
PublicationPlace Berlin, Heidelberg
PublicationPlace_xml – name: Berlin, Heidelberg
– name: Berlin
PublicationSeriesTitle Lecture Notes in Computer Science
PublicationSubtitle First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III
PublicationTitle Advances in Natural Computation
PublicationYear 2005
Publisher Springer Berlin Heidelberg
Springer
Publisher_xml – name: Springer Berlin Heidelberg
– name: Springer
RelatedPersons Kleinberg, Jon M.
Mattern, Friedemann
Nierstrasz, Oscar
Tygar, Dough
Steffen, Bernhard
Kittler, Josef
Vardi, Moshe Y.
Weikum, Gerhard
Sudan, Madhu
Naor, Moni
Mitchell, John C.
Terzopoulos, Demetri
Pandu Rangan, C.
Kanade, Takeo
Hutchison, David
RelatedPersons_xml – sequence: 1
  givenname: David
  surname: Hutchison
  fullname: Hutchison, David
  organization: Lancaster University, UK
– sequence: 2
  givenname: Takeo
  surname: Kanade
  fullname: Kanade, Takeo
  organization: Carnegie Mellon University, Pittsburgh, USA
– sequence: 3
  givenname: Josef
  surname: Kittler
  fullname: Kittler, Josef
  organization: University of Surrey, Guildford, UK
– sequence: 4
  givenname: Jon M.
  surname: Kleinberg
  fullname: Kleinberg, Jon M.
  organization: Cornell University, Ithaca, USA
– sequence: 5
  givenname: Friedemann
  surname: Mattern
  fullname: Mattern, Friedemann
  organization: ETH Zurich, Switzerland
– sequence: 6
  givenname: John C.
  surname: Mitchell
  fullname: Mitchell, John C.
  organization: Stanford University, CA, USA
– sequence: 7
  givenname: Moni
  surname: Naor
  fullname: Naor, Moni
  organization: Weizmann Institute of Science, Rehovot, Israel
– sequence: 8
  givenname: Oscar
  surname: Nierstrasz
  fullname: Nierstrasz, Oscar
  organization: University of Bern, Switzerland
– sequence: 9
  givenname: C.
  surname: Pandu Rangan
  fullname: Pandu Rangan, C.
  organization: Indian Institute of Technology, Madras, India
– sequence: 10
  givenname: Bernhard
  surname: Steffen
  fullname: Steffen, Bernhard
  organization: University of Dortmund, Germany
– sequence: 11
  givenname: Madhu
  surname: Sudan
  fullname: Sudan, Madhu
  organization: Massachusetts Institute of Technology, MA, USA
– sequence: 12
  givenname: Demetri
  surname: Terzopoulos
  fullname: Terzopoulos, Demetri
  organization: New York University, NY, USA
– sequence: 13
  givenname: Dough
  surname: Tygar
  fullname: Tygar, Dough
  organization: University of California, Berkeley, USA
– sequence: 14
  givenname: Moshe Y.
  surname: Vardi
  fullname: Vardi, Moshe Y.
  organization: Rice University, Houston, USA
– sequence: 15
  givenname: Gerhard
  surname: Weikum
  fullname: Weikum, Gerhard
  organization: Max-Planck Institute of Computer Science, Saarbruecken, Germany
SSID ssj0000316026
ssj0002792
ssj0000316024
Score 2.28729
Snippet We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this...
SourceID pascalfrancis
springer
SourceType Index Database
Publisher
StartPage 582
SubjectTerms Applied sciences
Artificial intelligence
Computer science; control theory; systems
Design Variable
Exact sciences and technology
Gear Train
Particle Swarm Optimization
Particle Swarm Optimization Method
Penalty Function
Title Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems
URI http://link.springer.com/10.1007/11539902_71
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Nb9MwFLegXBAHxpcYY5OFuEWJ0jSJnQMHNHWaxlYqrUy7oMh27NPWVGsG0v563stz2mRDCLhElVs3zvs5zz_7fTH2UcncWBPbEGvIhmmlVVgoF4dVNhEyrWycG9wons3y42_pyWV2uTXFtNEljY7M3W_jSv4HVWgDXDFK9h-Q3fwpNMBnwBeugDBc75Hf4TEruReT9b71Z50pSp9BNRoGxvU57FzrVX17Rf50X6JgGnXfXWCYdENZBs6iYBb1JxCwUYf8dO4nV3D-U91cB19Bx1z74M3WR_G8vvpBzgOYjFYBa636WQ6HHeZUv4aIPMrIrj-dejPGrG7oabpKE53iGZxMZPdOJrqTyeAPibv8wRPWS_I9fSwX6GnY6ZDqs6Sac0y4OKEEp17dZlS4yK_cGdX9erAokB8IUF8gY3FSYsaBx0JmI_bk8_Tk9GJzJAf6DQtybRZyzK1IRigajA8NagfrkzdtB-9jPzEss3cndLVVa3jbHJVJeWBvb2nMYoc9w9AWjjEnIN4X7JFdvmTPO3FzL-5X7LvHnnfY8xZ73oeSA_bcY8972PMe9sMOHfav2eJoujg8Dn0djnAF61kTykrBE1oRC2MLlxYicbmLE5MWsdZSWqFhWzoupANJOWhOhR4nrnDARpUBvv-GjZb10r5lPM3SiRFG5OMKeK9OVJJLpyoRayOVTpJddjAQV7milCvlGCtJSjnZZR86-ZX45q3LLu12T-jv_uZHe-zpds6-Z6Pm5tbuA79s9IGfF78AiWt3jg
linkProvider Library Specific Holdings
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%3Abook&rft.genre=bookitem&rft.title=Advances+in+Natural+Computation&rft.au=Parsopoulos%2C+K.+E.&rft.au=Vrahatis%2C+M.+N.&rft.atitle=Unified+Particle+Swarm+Optimization+for+Solving+Constrained+Engineering+Optimization+Problems&rft.series=Lecture+Notes+in+Computer+Science&rft.date=2005-01-01&rft.pub=Springer+Berlin+Heidelberg&rft.isbn=9783540283201&rft.issn=0302-9743&rft.eissn=1611-3349&rft.spage=582&rft.epage=591&rft_id=info:doi/10.1007%2F11539902_71
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0302-9743&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0302-9743&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0302-9743&client=summon