基于混沌算法的改进布谷鸟搜索算法及其应用  

Improved Cuckoo Search Algorithm Based on Chaos Algorithm and Its Application

作　　者：殷文明[1] 李辉[1] YIN Wenming;LI Hui(Department of Common Foundation,Fujian College of Water Conservancy and Electric Power,Yong’an,Fujian 366000,China)

机构地区：[1]福建水利电力职业技术学院公共基础部,福建永安366000

出　　处：《数学建模及其应用》2021年第2期25-31,共7页Mathematical Modeling and Its Applications

基　　金：2020年福建水利电力职业技术学院院级基金重点项目A级(YJJG2002A)。

摘　　要：对布谷鸟搜索算法的Lévy飞行机制进行简化,利用混沌算法改进种群初始化,并按适应度值进行排序,参考蛙跳算法对排在末位的若干个鸟巢进行随机变异,提出一种基于混沌算法的改进布谷鸟搜索算法.通过测试函数验证,并与其他算法进行比较,该算法显示出更好的搜索性能和精度,将其应用于水电站经济调度问题,与传统算法相比,效果更好.In this paper,a new improved cuckoo search algorithm is proposed.the Lévy flight mechanism of cuckoo search algorithm is simplified,the chaos algorithm is used to improve the population initialization,and the order is made according to the fitness value.Several last nests are selected for random mutation with reference to frog leaping algorithm.Through the test function verification,and compared with other algorithms,the algorithm shows better search performance.It is applied to the economic operation of hydropower station.Compared with the traditional algorithm,the algorithm is more effective.

关 键 词：混沌算法 Lévy飞行机制 水电站 经济调度 

分 类 号：O224[理学—运筹学与控制论] O242[理学—数学]