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).
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References
Goldberg, D.E.: Genetic Algorithm in Search. In: Optimization and Machine Learning, Addison-Wesley, Reading (1989)
Pan, J.S., McInnes, F.R., Jack, M.A.: Application of Parallel Genetic Algorithm and Property of Multiple Global Optima to VQ Codevector Index Assignment. Electronics Letters 32(4), 296–297 (1996)
Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995), 1995
Shi, Y., Eberhart, R.: Empirical study of particle swarm optimization. In: Congress on Evolutionary Computation, pp. 1945–1950 (1999)
Chang, J.F., Chu, S.C., Roddick, J.F., Pan, J.S.: A Parallel Particle Swarm Optimization Algorithm with Communication Strategies. Journal of Information Science and Engineering 21(4), 809–818 (2005)
Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. on Evolutionary Computation 26(1), 53–66 (1997)
Chu, S.C., Roddick, J.F., Pan, J.S.: Ant colony system with communication strategies. Information Sciences 167, 63–76 (2004)
Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by simulated annealing. Science, 671–680 (1983)
Huang, H.C., Pan, J.S., Lu, Z.M., Sun, S.H., Hang, H.M.: Vector quantization based on generic simulated annealing. Signal Processing 81(7), 1513–1523 (2001)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chu, SC., Tsai, Pw., Pan, JS. (2006). Cat Swarm Optimization. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_94
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DOI: https://doi.org/10.1007/978-3-540-36668-3_94
Publisher Name: Springer, Berlin, Heidelberg
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