Artificial bee colony (ABC) algorithm is relatively a new bio-inspired swarm intelligence optimization technique comparative to other population based algorithms. In this study BGA (breeder GA) mutation is embedded into onlooker bee phase to improve the capability of local search. The proposed variant is named B-ABC. The experimental results on 10 constrained benchmark functions demonstrate the performance of the proposed variant against those of state-of-the-art algorithms for a set of constrained test problems. Further the efficiency of the proposed variant is tested on the car side impact problem. © 2012 Springer-Verlag.
CITATION STYLE
Sharma, T. K., Pant, M., & Singh, V. P. (2012). Modified onlooker phase in artificial bee colony algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7677 LNCS, pp. 339–347). https://doi.org/10.1007/978-3-642-35380-2_40
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