Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial foraging optimization algorithm

Abstract

Artificial bee colony (ABC) algorithm is a new global stochastic optimization algorithm based on the collective foraging behavior of honeybee swarms. In order to improve the intensification ability of ABC algorithm, a hybrid ABC (HABC) algorithm is presented where chemotaxis behavior of bacterial foraging optimization algorithm is embedded into the exploitation process of employed bees and onlooker bees. Four benchmark functions are simulated in the experiments in order to compare the ABC and the HABC, and the results show that the hybrid algorithm outperforms the basic ABC algorithm.