A Composite Framework of Cuckoo Search and PSO Algorithm


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A novel composite framework of Cuckoo Search (CS) and Particle Swarm Optimization (PSO) algorithm called CS-PSO is proposed in this paper. In CS-PSO, initialization is substituted by chaotic system, and then Cuckoo shares optimums in the global best solutions pool with particles in PSO to improve parallel cooperation and social interaction. Furthermore, Cloud Model, famous for its outstanding characteristics of the process of transforming qualitative concepts to a set of quantitative numerical values, is adopted to exploit the surrounding of the local solutions obtained from the global best solution pool. Benchmark test results show that, CS-PSO can converge to the global optimum solution rapidly and accurately, compared with other algorithms, especially in high dimensional problems.



Edited by:

Fang Shao, Fenjie Long, Jie Liang, Haihong Chen and Meini Yuan






Z. Q. Gao et al., "A Composite Framework of Cuckoo Search and PSO Algorithm", Applied Mechanics and Materials, Vols. 713-715, pp. 1491-1494, 2015

Online since:

January 2015




* - Corresponding Author

[1] L. P Wang, X J Fu, Data Mining with Computational Intelligence, Springer, Berlin, (2005).

[2] James Kennedy, Russell C Eberhart, with Yuhui Shi, Swarm intelligence. San Francisco, Cal., USA: Morgan Kaufmann Publishers, 2001: 287-318.

DOI: 10.1016/b978-155860595-4/50007-3

[3] S. Chandrasekaran, S. G. Ponnambalam, R.K. Suresh, and N. Vijayakumar, A Hybrid Discrete Particle Swarm Optimization Algorithm to Solve Flow Shop Scheduling Problems, presented at IEEE Conference on Cybernetics and Intelligent Systems, Bangkok, (2006).

DOI: 10.1109/iccis.2006.252316

[4] J. Robinson, S. Sinton, and R. -S. Yahya, Particle Swarm, Genetic Algorithm, and Their Hybrids: Optimization of a Profiled Corrugated Horn Antenna, presented at Antennas and Propagation Society International Symposium, (2002).

DOI: 10.1109/aps.2002.1016311

[5] M. Iqbal and M. A. Montes de Oca, An Estimation of Distribution Particle Swarm Optimization Algorithm, presented at 5th International Workshop on Ant Colony Optimization and Swarm Intelligence, Brussels, (2006).

DOI: 10.1007/11839088_7

[6] J. Kennedy, Bare bones particle swarms, presented at 2003 IEEE Swarm Intelligence Symposium, (2003).

DOI: 10.1109/sis.2003.1202251

[7] T. J. Richer and T. M. Blackwell, The Levy Particle Swarm, presented at IEEE Congress on Evolutionary Computation, Vancouver, (2006).

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