Cat Swarm Optimization

@inproceedings{Chu2006CatSO,
  title={Cat Swarm Optimization},
  author={Shu-Chuan Chu and Pei-wei Tsai and Jeng-Shyang Pan},
  booktitle={PRICAI},
  year={2006}
}
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). 
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