关键词: 人工蜂群算法, 局部搜索, 当前最优解, 混沌, 自适应侦查

Abstract: Artificial bee colony algorithm has the disadvantages that it is easy to fall into local optimum and has slow convergence speed, this paper proposes an improved artificial bee colony algorithm based on local search strategy. In this algorithm, follow bees adopt chaotic local search strategy based on the optimal solutions, scout bees use adaptive detection strategy based on the optimal solutions, and its local search range is narrowed with the increase of iterations, so as to improve the local search ability of artificial bee colony algorithm and effectively avoid falling into local optimal. The simulation experiments of six test functions show that, compared with the traditional artificial bee colony algorithms, the improved one can obviously increase the solution accuracy and convergence speed.

Key words: artificial bee colony algorithm, local search, current optimal, chaotic, adaptive detection