Chaos artificial bee colony based on Memetic framework
基于Memetic框架的混沌人工蜂群算法

This paper proposed novel chaos-artificial bee colony algorithm for continuous function optimization problems. Based on the Memetic algorithm framework, the new algorithm took artificial bee colony algorithm as the global search algorithm and the chaos local search operator as the local search operator algorithm. Furthermore, for the food source which was into local minimum, the scout didn't randomly generate the new food source, but used the chaos local operator to generate the candidate food source in order to enhance the exploit of bee colony. The simulation results for five Benchmark functions show that, compared with those of artificial bee colony algorithm, the new algorithm has the advantages in the solutions' quality.