文件名称:cat-swarm-optimization
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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).
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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cat swarm optimization.pdf