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Cat Swarm Optimization.

Authors :
Qiang Yang
Webb, Geoff
Shu-Chuan Chu
Pei-wei Tsai
Jeng-Shyang Pan
Source :
PRICAI 2006: Trends in Artificial Intelligence; 2006, p854-858, 5p
Publication Year :
2006

Abstract

In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental results using six test functions demonstrate that CSO has much better performance than Particle Swarm Optimization (PSO). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540366676
Database :
Complementary Index
Journal :
PRICAI 2006: Trends in Artificial Intelligence
Publication Type :
Book
Accession number :
32907617
Full Text :
https://doi.org/10.1007/11801603_94