Gbest-guided artificial bee colony algorithm for numerical function optimization
Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive with some conventional biological-inspired algorithms, such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimizati...
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| Published in | Applied mathematics and computation Vol. 217; no. 7; pp. 3166 - 3173 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Inc
01.12.2010
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0096-3003 1873-5649 |
| DOI | 10.1016/j.amc.2010.08.049 |
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| Abstract | Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive with some conventional biological-inspired algorithms, such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimization (PSO). However, there is still an insufficiency in ABC algorithm regarding its solution search equation, which is good at exploration but poor at exploitation. Inspired by PSO, we propose an improved ABC algorithm called gbest-guided ABC (GABC) algorithm by incorporating the information of global best (gbest) solution into the solution search equation to improve the exploitation. The experimental results tested on a set of numerical benchmark functions show that GABC algorithm can outperform ABC algorithm in most of the experiments. |
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| AbstractList | Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive with some conventional biological-inspired algorithms, such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimization (PSO). However, there is still an insufficiency in ABC algorithm regarding its solution search equation, which is good at exploration but poor at exploitation. Inspired by PSO, we propose an improved ABC algorithm called gbest-guided ABC (GABC) algorithm by incorporating the information of global best (gbest) solution into the solution search equation to improve the exploitation. The experimental results tested on a set of numerical benchmark functions show that GABC algorithm can outperform ABC algorithm in most of the experiments. |
| Author | Kwong, Sam Zhu, Guopu |
| Author_xml | – sequence: 1 givenname: Guopu surname: Zhu fullname: Zhu, Guopu organization: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China – sequence: 2 givenname: Sam surname: Kwong fullname: Kwong, Sam email: cssamk@cityu.edu.hk organization: Department of Computer Science, City University of Hong Kong, Hong Kong SAR, PR China |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23835620$$DView record in Pascal Francis |
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| CODEN | AMHCBQ |
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| Cites_doi | 10.1109/79.543973 10.1109/TEVC.2008.919004 10.1016/j.asoc.2007.05.007 10.1016/j.asoc.2008.09.001 10.1016/S0020-0190(02)00447-7 10.1016/j.amc.2007.09.004 10.1109/ICNN.1995.488968 10.1016/j.amc.2009.03.090 10.1016/0098-1354(93)80080-7 10.1007/s10898-007-9149-x 10.1016/j.jfranklin.2008.11.003 |
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| Keywords | Differential evolution Artificial bee colony algorithm Biological-inspired optimization algorithm Genetic algorithm Numerical function optimization Particle swarm optimization Optimization method Global solution Search algorithm Experimental result Numerical analysis Applied mathematics Variational calculus Mathematical programming |
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| SubjectTerms | Algorithms Artificial bee colony algorithm Biological-inspired optimization algorithm Calculus of variations and optimal control Colonies Differential evolution Exact sciences and technology Exploitation Genetic algorithm Mathematical analysis Mathematical models Mathematics Measure and integration Numerical analysis Numerical analysis. Scientific computation Numerical function optimization Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Optimization Particle swarm optimization Sciences and techniques of general use Searching |
| Title | Gbest-guided artificial bee colony algorithm for numerical function optimization |
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