计算机工程2011，Vol.37Issue(21)：146-148,3.DOI:10.3969/j.issn.1000-3428.2011.21.050
基于改进混合蛙跳算法的网格任务调度策略
Grid Task Schedule Strategy Based on Improved Shuffled Frog Leaping Algorithm
欧阳 1孙元姝2
作者信息
- 1. 重庆理工大学信息与教育技术中心
- 2. 重庆理工大学计算机科学与工程学院,重庆400054
- 折叠
摘要
Abstract
This paper proposes an improved Shuffled Frog Leaping Algorithm(SFLA) for grid task schedule. The algorithm is based on traditional SFLA. It introduces the genetic operators to increase relative extremum disturbance to avoid falling into a local optimum, and the frog leaping strategy is optimized by learn from the particle flying experience of Particle Swarm Optimization(PSO) algorithm. Experimental results prove the strategy has better performance. It can be faster to get a high-quality optimal solution.关键词
网格/任务调度/混合蛙跳算法/遗传算法/粒子群优化算法Key words
grid/task schedule/Shuffled Frog Leaping Algorithm(SFLA)/Genetic Algorithm(GA)/Particle Swarm Optimization(PSO) algorithm分类
信息技术与安全科学引用本文复制引用
欧阳,孙元姝..基于改进混合蛙跳算法的网格任务调度策略[J].计算机工程,2011,37(21):146-148,3.
