无选择策略的改进蜜蜂群算法  

A Modified Artificial Bee Colony Algorithm

作　　者：徐卫滨[1] 

机构地区：[1]太原科技大学经济与管理学院,太原030024

出　　处：《太原科技大学学报》2011年第5期343-347,共5页Journal of Taiyuan University of Science and Technology

摘　　要：针对人工蜂群算法(ABC)中群体多样性较差的缺点,提出无选择策略的改进的蜜蜂群算法(MABC)。MABC算法改变ABC算法的框架,通过去掉ABC算法中跟随蜂对引领蜂的选择策略,来降低算法的选择压力,提高种群多样性和算法的全局搜索能力。仿真结果表明,该算法能够有效保证群体多样性,提高人工蜂群算法的性能。To overcome the shortcoming of poor diversity of Artificial Bee Colony（ABC）algorithm,this paper presents a modified Artificial Bee Colony algorithm.Unlike ABC in which onlooker bees choose employed bees from the colony according to proportional fitness choosing strategy,in MABC,in order to decrease the selection pressure and further improve the diversity,it does not set onlooker bees,as a result of no selection pressure on employed bees（solutions）.The simulation results show that the presented algorithm can ensure the colony diversity and improve the performances of ABC.

关 键 词：人工蜂群算法 比例适应值选择策略 选择压力 群体多样性 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]