自调整的捕鱼策略优化算法

J4 ›› 2014, Vol. 36 ›› Issue (05): 923-928.

自调整的捕鱼策略优化算法

李景洋1,2，王勇1，李春雷3

（1.广西民族大学信息科学与工程学院，广西南宁 530006；
2 南宁市环境保护监测站，广西南宁 530012；3.南宁供电局，广西南宁 530031）

收稿日期:2012-10-22 修回日期:2013-01-21 出版日期:2014-05-25 发布日期:2014-05-25
基金资助:
国家自然科学基金资助项目(61074185);广西自然科学基金资助项目(0832084);广西高等学校科研项目(201202ZD032)

Adjustive fishing strategy optimization algorithm

LI Jingyang1,2,WANG Yong1,LI Chunlei3

(1.College of Information Science and Engineering,Guangxi University for Nationalities,Nanning 530006;
2.Environmental Protection Monitoring Station of Nanning，Nanning 530012;
3.Nanning Power Supply Bureaus,Nanning 530031,China)

Received:2012-10-22 Revised:2013-01-21 Online:2014-05-25 Published:2014-05-25

摘要/Abstract

摘要：

针对基本捕鱼策略优化算法（FSOA）在优化过程中存在易陷入局部最优、求解高维的复杂优化问题时优化性能不好的不足，对基本捕鱼策略优化算法（FSOA）进行了改进，提出了自调整的捕鱼策略优化算法(ADFSOA)：算法采用时变的搜索半径，每个渔夫可根据自己所处的状态自我调整搜索策略。通过与基本FSOA、RFSOA和标准PSO算法的数值实验对比, 表明了所提算法的优化性能具有显著的优势，可用于求解高维的复杂优化问题。

关键词: 捕鱼策略优化算法(FSOA), ADFSOA, 时变搜索半径, 调整因子

Abstract:

In order to overcome the shortcomings that basic FSOA is easily trapped in local optimum and unable to solve the highdimensional complex optimization problems,an improved FSOA,named ADjustive Fishing Strategy Optimization Algorithm (ADFSOA),is proposed.In the algorithm,every fisherman (searcher) uses a timevarying searchradius and can adjust his searching strategy according to his own state.Numerical experiments show that,compared with basic FSOA,RFSOA and standard PSO,the proposed algorithm is much superior to other algorithms and can be used to solve the complex highdimensional optimization problems.

Key words: FSOA;ADFSOA;time-varying search radius;adjustive factor

李景洋1,2，王勇1，李春雷3. 自调整的捕鱼策略优化算法[J]. J4, 2014, 36(05): 923-928.

LI Jingyang1,2,WANG Yong1,LI Chunlei3. Adjustive fishing strategy optimization algorithm [J]. J4, 2014, 36(05): 923-928.