Efficient Exploration Strategies for Artificial Bee Colony

Artificial bee colony (ABC) is a population-based optimizer. It simulates bees´ forage behavior for searching better foods source (solutions) in solution space. In order to easier for finding better foods more efficient, in this paper, the efficient exploration strategies are proposed. Unlike original ABC, the scout bee will only be activated for a while. For proposed method, the scout bee will be joined in each iteration. In order to test the efficiency of proposed method, twenty-five test functions of CEC 2005 are adopted to compare the proposed method with four ABC variants. From the results, it can be observed that the proposed method performs better on most test functions.