关键词: 人工蜂群算法, 搜索方程, 全局探索, 局部开发, 均衡

Abstract: In view of the defect that Artificial Bee Colony（ABC） algorithm is poor at exploitation, an Improved Artificial Bee Colony（IABC） algorithm is proposed based on two new solution search strategies. A new solution search equation, in which the other individual can be driven under the guidance of the best individual with best fitness value, is introduced so as to improve the capability of exploitation. To achieve a good tradeoff between the exploitation and exploration, a new random item is integrated into the original solution search equation to enhance the ability of exploration on the onlooker bee phase of ABC. To further balance the ability of exploration and exploitation, some modifications are done on the scout bee phase of ABC. In order to validate the convergence performance of IABC, experiments tested on twelve benchmark functions are conducted. And the experimental results show that the convergence performance of IABC is enhanced conspicuously.

Key words: artificial bee colony algorithm, solution search equation, global exploration, local exploitation, tradeoff