| 注册
首页|期刊导航|计算机工程与应用|AFSA与改进FSOA相结合的优化方法

AFSA与改进FSOA相结合的优化方法

邓辉 王勇 陈士亮

计算机工程与应用2011,Vol.47Issue(31):57-62,6.
计算机工程与应用2011,Vol.47Issue(31):57-62,6.DOI:10.3778/j.issn.1002-8331.2011.31.016

AFSA与改进FSOA相结合的优化方法

Optimization approach combining AFSA with improving FSOA

邓辉 1王勇 1陈士亮1

作者信息

  • 1. 广西民族大学数学与计算机科学学院,南宁530006
  • 折叠

摘要

Abstract

A hybrid optimazation approach which is combined the Artificial Fish School Algorithm(AFSA) with the improving Optimization Approach on using Fishing Strategy (FSOA) is presented in this paper.The main idea of this hybrid optimization method is that AFSA and improving FSOA are used alternating in the sequence of operations for searching the global optimal solution, that AFSA is used to find the local optimal domain and improving FSOA is made use of improving the accurate numerical solution and accelerating the convergence rate.lt shows from the optimization experimental results that the optimization approach has the performances of rapid convergence rate,high accurate numerical solution,robust in solving global optimal solution, and good stability.So the optimization algorithm is effective and feasible in solving high dimension and complex function' optimization problems.

关键词

人工鱼群算法(AFSA)/改进捕鱼策略优化方法/优化方法

Key words

Artificial Fish School Algorithm (AFSA)/ improving Optimization Approach on using Fishing Strategy (FSOA)/ optimization approach

分类

信息技术与安全科学

引用本文复制引用

邓辉,王勇,陈士亮..AFSA与改进FSOA相结合的优化方法[J].计算机工程与应用,2011,47(31):57-62,6.

基金项目

广西自然科学基金(the Natural Science Foundation of Guangxi of China under Grant No.0832084). (the Natural Science Foundation of Guangxi of China under Grant No.0832084)

计算机工程与应用

OACSCDCSTPCD

1002-8331

访问量0
|
下载量0
段落导航相关论文