基于刺激-响应分工机制的人工蜂群算法

针对人工蜂群算法中探索与开采的不平衡以及由此导致的求解精度低、收敛速度慢等问题,提出一种基于刺激-响应分工机制的人工蜂群算法.将探索和开采看成两种不同的搜索任务,令蜜蜂在雇佣蜂阶段执行探索,在跟随蜂阶段执行开采.根据种群多样性设计搜索任务的环境刺激,利用搜索成功率设计蜜蜂个体的响应阈值.在刺激-响应分工机制下,蜜蜂在雇...

Artificial bee colony algorithm based on stimulus-response labor division

Aiming at the disadvantages of the imbalance between exploration and exploitation in the artificial bee colony algorithm, as well as the resulting low solution quality and slow convergence speed, this paper proposes an artificial bee colony algorithm based on stimulus-response labor division. Firstly, exploration and exploitation are regarded as two different search tasks, bees explore the search space in the employed bee phase and exploit the search space in the onlooker bee phase. Then, the environmental stimulus of the search task is designed according to the population diversity, and the response threshold of bees is designed according to the search success rate. Finally, under the mechanism of stimulus-response labor division, bees flexibly switch between the employed bee and the onlooker bee to achieve the exploration-exploitation balance. The experimental results on 22 benchmark functions show the high efficiency of the proposed algorithm.