Work-in-progress: Adaptive population artificial bee colony for numerical optimization

In this paper, an adaptive population artificial bee colony (APABC) is proposed. The population size of APABC will be dynamically increased or decreased by population manager according to current solution searching status. Thus, the population size of APABC is not fix but variable. It can enhance bees´ searching ability and increase population utilization. In experiments, fifteen test functions of CEC 2005, which include uni-modal and multi-modal functions, are adopted to test the efficiency of proposed method and compare it with original ABC. From the results, it can be observed that the APABC performs better on most test functions.