Cat swarm optimization

Authors:
Shu-Chuan Chu;Pei-Wei Tsai;Jeng-Shyang Pan
Affiliations:
Department of Information Management, Cheng Shiu University;Department of Electronic Engineering, National Kaohsiung University of Applied Sciences;Department of Electronic Engineering, National Kaohsiung University of Applied Sciences
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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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).