Title :
A Modified PSO Algorithm Based on Cache Replacement Algorithm
Author :
Mingyue Feng ; Hua Pan
Author_Institution :
Xidian Univ., Xi´an, China
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.177