Parallel Cat Swarm Optimization

2008126 citationsJournal Article

Authors

Pei‐Wei Tsai · National Kaohsiung University of Applied Sciences

Jeng‐Shyang Pan · National Kaohsiung University of Applied Sciences

Shyi‐Ming Chen · Jinwen University of Science and Technology

Bin-Yih Liao · National Kaohsiung University of Applied Sciences

Szu-Ping Hao · National Kaohsiung University of Applied Sciences

Abstract

We investigate a parallel structure of cat swarm optimization (CSO) in this paper, and we call it parallel cat swarm optimization (PCSO). In the experiments, we compare particle swarm optimization (PSO) with CSO and PCSO. The experimental results indicate that both CSO and PCSO perform well. Moreover, PCSO is an effective scheme to improve the convergent speed of cat swarm optimization in case the population size is small and the whole iteration is less.

Topics & Keywords

Metaheuristic Optimization Algorithms Research Advanced Algorithms and Applications Artificial Immune Systems Applications

Publication Details

DOI: 10.1109/icmlc.2008.4620980

Field-Weighted Citation Impact: 3.43

Command Palette

Parallel Cat Swarm Optimization

Authors

Abstract

Topics & Keywords

Publication Details