TY - JOUR
T1 - Gbest-guided artificial bee colony algorithm for numerical function optimization
AU - Zhu, Guopu
AU - Kwong, Sam
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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. © 2010 Elsevier Inc. All rights reserved.
AB - 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. © 2010 Elsevier Inc. All rights reserved.
KW - Artificial bee colony algorithm
KW - Biological-inspired optimization algorithm
KW - Differential evolution
KW - Genetic algorithm
KW - Numerical function optimization
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=78049297395&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78049297395&origin=recordpage
U2 - 10.1016/j.amc.2010.08.049
DO - 10.1016/j.amc.2010.08.049
M3 - 21_Publication in refereed journal
VL - 217
SP - 3166
EP - 3173
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
SN - 0096-3003
IS - 7
ER -