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万有引力搜索算法的Web服务选择

袁博 马力

计算机与数字工程2019,Vol.47Issue(2):289-295,7.
计算机与数字工程2019,Vol.47Issue(2):289-295,7.DOI:10.3969/j.issn.1672-9722.2019.02.007

万有引力搜索算法的Web服务选择

Web Service Selection for Gravitation Search Algorithm

袁博 1马力1

作者信息

  • 1. 西安邮电大学 西安 710061
  • 折叠

摘要

Abstract

Focusing on the problems of the traditional optimization algorithm can not solve the problem of high dimension search space optimization. An improved gravitational search algorithm is proposed,which combines the gravitational search algo?rithm with the particle swarm optimization algorithm. Through the operation of the boundary and the new search space Activate the stagnant particles,so that the particles jump out of the local area,to find the optimal solution. The experimental results show that with the increase of the number of iterations,the proposed algorithm has better performance than traditional heuristic optimization al?gorithm.

关键词

万有引力算法/服务质量控制/粒子群算法/多目标优化

Key words

gravitational algorithm/quality of service/particle swarm optimization/multi-objective optimization

分类

信息技术与安全科学

引用本文复制引用

袁博,马力..万有引力搜索算法的Web服务选择[J].计算机与数字工程,2019,47(2):289-295,7.

计算机与数字工程

OACSTPCD

1672-9722

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