COMPUTATIONAL INTELLIGENCE BASED ON THE BEHAVIOR OF CATS

Abstract

Abstract. Optimization problems are very important in many fields. To the present, many optimization algorithms based on computational intelligence have been proposed, such as the Genetic Algorithm, Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). In this paper, a new optimization algorithm, namely, Cat Swarm Optimization (CSO) is proposed. CSO is generated by observing the behavior of cats, and composed of two sub-models by simulating the behavior of cats. According to the experiments, the results reveal that CSO is superior to PSO.

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