DocumentCode
234962
Title
A Modified PSO Algorithm Based on Cache Replacement Algorithm
Author
Mingyue Feng ; Hua Pan
Author_Institution
Xidian Univ., Xi´an, China
fYear
2014
fDate
15-16 Nov. 2014
Firstpage
558
Lastpage
562
Abstract
Recently, the research of the PSO algorithm has gained more attention. The performance of the PSO algorithm can be improved by using hybrid techniques. In this paper, to solve the problem of slow convergence and optimize the PSO algorithm performance, we propose a new algorithm - Cache Replacement Search PSO (CRS-PSO), which integrates basic PSO and the idea of cache design in the computer realm. The experimental results show that the proposed CRS-PSO can effectively solve the slow convergence problem and give a better performance than PSO alone.
Keywords
cache storage; evolutionary computation; particle swarm optimisation; search problems; CRS-PSO hybrid evolutionary algorithm; cache replacement search PSO algorithm; modified PSO algorithm; slow convergence problem; Algorithm design and analysis; Computers; Convergence; Memory management; Particle swarm optimization; Vectors; cache replacement algorithm; hybrid algorithm; particle swarm optimization; slow convergence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4799-7433-7
Type
conf
DOI
10.1109/CIS.2014.177
Filename
7016958
Link To Document