莱维航班
布谷鸟搜索
布谷鸟
粒子群优化
元启发式
计算机科学
数学优化
启发式
群体智能
遗传算法
使负有责任或义务
孵卵
算法
人工智能
机器学习
数学
生物
统计
生态学
动物
随机游动
作者
Xin‐She Yang,Suash Deb
出处
期刊:Nature and Biologically Inspired Computing
日期:2009-01-01
卷期号:: 210-214
被引量:5994
标识
DOI:10.1109/nabic.2009.5393690
摘要
In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour of some birds and fruit flies. We validate the proposed algorithm against test functions and then compare its performance with those of genetic algorithms and particle swarm optimization. Finally, we discuss the implication of the results and suggestion for further research.
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