一种新的多目标人工蜂群算法
A NEW MULTI-OBJECTIVE ARTIFICIAL BEE COLONY ALGORITHM
提出了一种新的多目标人工蜂群算法(GMOABC), 该算法使用自适应网格维护外部档案.在雇佣蜂阶段, 选择外部档案中的个体作为食物源的``邻居",用于生成新食物源. 在观察蜂阶段,除了``邻居",全局最优食物源gbest 也用于指导观察蜂的飞行轨迹.借助Friedman非参数检验法将GMOABC算法与其他主流算法在CEC 2009测试函数集上进行了全面比较,实验结果显示了文章算法的优越性.
This paper proposes a new kind of multi-objective artificial bee colony algorithm named GMOABC, which uses adaptive grid to maintain the external archive. In the employed bees phase, an individual in the archive is chosen as the ``neighbor" of a food source and is used to generate the new food source. In the onlooker bees phase, besides the ``neighbor", the global best food source gbest is also used to guide the flight path of onlooker bees. GMOABC algorithm is compared with other popular algorithms by applying Friedman nonparametric test on the obtained results of CEC 2009 test functions. The experimental results show great superiority of our proposed algorithm.
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