Two modified versions of artificial bee colony algorithm

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摘要

Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms used in optimization problems. ABC simulates the intelligent foraging behavior of a honeybee swarm. In this paper, two aspects of ABC algorithm are modified and new configurations are used. The modified versions are tested on some well-known benchmark functions. Results show that the new changes have positive effects on the performance of ABC algorithm.

论文关键词:Swarm intelligence,Optimization algorithms,Artificial bee colony algorithm,Numerical function optimization,Unconstrained optimization

论文评审过程:Available online 31 October 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.09.012