Artificial bee colony based on reverse selection of roulette
基于轮盘赌反向选择机制的蜂群优化算法

Towards the defect which inclined artificial bee colonyABC to fall into local minima, and taking into account of greedy selection scheme was always employed during the basic artificial bee colony, which resulted in rapid evolving toward the more fitter individual, and thus trapped the ABC into stagnation. Thus, this paper proposed a modified artificial bee colony MABC based on reverse selection of roulette which retaining the diversity of population in order to improve the evolving capability. Experiments result on a few of benchmark functions show that the MABC algorithm not only effectively avoids the premature convergence, but also significantly improves the convergence speed and the convergence precision. Moreover, the MABC algorithm is robust to the scale of population.