Description: 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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