关键词: 反馈机制, 丛林法则, 自适应, 线性微分递增策略

Abstract: Artificial bee colony algorithm is easy to fall into local optimum and to premature convergence. In order to solve these problems, an Artificial Bee Colony algorithm based on the Law of the jungle and Feedback（LFABC） is proposed in this paper. The algorithm introduces feedback mechanism, so the algorithm can directly search area where there is possibly an optimal solution, improve the development ability and convergence speed. In order to balance the development capacity and the exploration capacity in the different stages, LFABC introduces linear increasing differential strategy into the global search equation. In the nature, law of the jungle is the only criterion for survival. It simulates this natural phenomena, LFABC algorithm randomly selects an individual to initialize, effectively prevent the algorithm into local optimum. Experimental results show that LFABC effectively improve the convergence precision and its convergence speed is outstanding.

Key words: feedback mechanism, law of jungle, self-adaptive, linear increasing differential strategy