动态适应布谷鸟搜索算法

被引：72

作者：

张永韡

汪镭

吴启迪

机构：

[1] 同济大学电子与信息工程学院

来源：

控制与决策 | 2014年 / 29卷 / 04期

关键词：

布谷鸟算法; L′evy飞行; 动态适应; 反馈控制;

D O I：

10.13195/j.kzyjc.2012.1815

中图分类号：

TP301.6 [算法理论];

学科分类号：

摘要：

介绍一种新的生物启发算法—–布谷鸟搜索(CS)及其相关的L′evy飞行搜索机制.为了进一步提高算法的适应性,将反馈引入算法框架,建立了CS算法参数的闭环控制系统.将Rechenberg的1/5法则作为进化的评价指标,引入学习因子平衡种群的多样性和集中性,提出动态适应布谷鸟算法(DACS).最后,通过数值实验验证了所提出算法的有效性.

引用

页码：617 / 622

页数：6

共 7 条

[1] A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms[J] . Pinar Civicioglu,Erkan Besdok.Artificial Intelligence Review . 2013 (4)
[2] Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems[J] . Amir Hossein Gandomi,Xin-She Yang,Amir Hossein Alavi.Engineering with Computers . 2013 (1)
[3] Multi-objective scheduling problem: Hybrid approach using fuzzy assisted cuckoo search algorithm[J] . K. Chandrasekaran,Sishaj P. Simon.Swarm and Evolutionary Computation . 2012
[4] Cuckoo search for inverse problems and simulated-driven shapeoptimization[J] . Slawomir Koziel,Leifur Leifsson,Xin-She Yang.Journal of Computational Methods in Sciences and . 2012 (1,2)
[5] Lévy flights, non-local search and simulated annealing[J] . Ilya Pavlyukevich.Journal of Computational Physics . 2007 (2)
[6] Lévy Flights in Dobe Ju/’hoansi Foraging Patterns[J] . Clifford T. Brown,Larry S. Liebovitch,Rachel Glendon.Human Ecology . 2007 (1)
[7] Cuckoos, cowbirds and the persistence of brood parasitism[J] . Rachael Winfree.Trends in Ecology & Evolution . 1999 (9)

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