计算机科学 ›› 2014, Vol. 41 ›› Issue (11): 269-272.doi: 10.11896/j.issn.1002-137X.2014.11.052
谢娟,邱剑锋,闵杰,汪继文
XIE Juan,QIU Jian-feng,MIN Jie and WANG Ji-wen
摘要： 针对人工蜂群算法在解决单峰问题时收敛速度过慢而在优化多峰问题时易陷入局部最优值的问题,依据群体动力学原理,引入“自我认知能力”和“社会认知能力”对蜂群觅食时的蜜源搜索策略进行改进,提出了具有双重认知策略的人工蜂群算法。用经典的标准测试函数进行了实验并与其他改进算法进行了比较,结果表明,改进的搜索策略提高了算法的优化能力,优于其他改进的人工蜂群算法。
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