首页 | 本学科首页   官方微博 | 高级检索  
     

一种人工鱼算法与捕鱼算法相结合的优化方法
引用本文:陈建荣,王勇. 一种人工鱼算法与捕鱼算法相结合的优化方法[J]. 计算机应用与软件, 2011, 28(4)
作者姓名:陈建荣  王勇
作者单位:1. 右江民族医学院,广西,百色,533000
2. 广西民族大学数学与计算机科学学院,广西,南宁,530006
基金项目:广西自然科学基金项目(0832084)
摘    要:在分析人工鱼群算法和捕鱼算法存在不足的基础上,提出了一种人工鱼群算法(AFSA)与采用捕鱼策略的优化算法(FSOA)相结合的混合算法。该算法在优化初期使用AFSA算法搜索局部最优域,而在优化后期则使用FSOA算法在优化前期所初步确定的局部最优域中搜索最优解。实验计算结果表明,该算法具有优化精度高、收敛速度快的特点。

关 键 词:人工鱼群算法(AFSA)  采用捕鱼策略的优化算法(FSOA)  全局优化  捕鱼策略  混合算法  

AN OPTIMIZATION APPROACH COMBINING ARTIFICIAL FISH-SWARM AND FISHING STRATEGY
Chen Jianrong,Wang Yong. AN OPTIMIZATION APPROACH COMBINING ARTIFICIAL FISH-SWARM AND FISHING STRATEGY[J]. Computer Applications and Software, 2011, 28(4)
Authors:Chen Jianrong  Wang Yong
Affiliation:Chen Jianrong1 Wang Yong2 1(Youjiang Medical University for Nationalities,Baise 533000,Guangxi,China) 2(College of Mathematics and Computer Science,Guangxi University for Nationalities,Nanning 530006,China)
Abstract:Based on analyzing the shortcomings of artificial fish-swarm algorithm(AFSA)and optimization algorithm on using fishing strategy(FSOA),this paper presents a hybrid algorithm combining AFSA and FSOA.The strategy of this algorithm is that to use AFSA in initial stage of optimization to search local optimal domain but to use FSOA in later stage to search optimal solution within the local optimal domain primarily determined in the early stage.Results of experimental calculation indicate that the hybrid algorith...
Keywords:Artificial fish swarm algorithm(AFSA) Optimization algorithm on using fishing strategy(FSOA) Global optimization Fishing strategy Hybrid algorithm  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号