Artificial bee colony algorithm with chaotic-search strategy

An advanced artificial bee colony optimization algorithm is presented to enhance the local searching ability.Some employed bees trapped in local optimal solution are initialized again by chaotic series,and the tabu is used table to save the local optimization results in order to introduce neighboring regions of local minimums in the iteration,which helps them break away from local optimum to find the globe optimal solution rapidly.The improved algorithm makes use of the chaotic search to improve the capability of precise search and also keep the ability of global search of artificial bee colony optimization(ABC) algorithm.The experimental results of classic functions show that the algorithm has improved the global optimizing ability,and has great advantage of convergence property and robustness compared to ABC algorithm.