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An evaluation of cellular population model for improving quantum-inspired evolutionary algorithm

Published: 07 July 2012 Publication History

Abstract

This work empirically evaluates the impact of Von Neumann Cellular population model on Quantum inspired Evolutionary algorithms (QEA), specifically for solving Massively Multimodal Deceptive Problem (MMDP) and Knapsack problems.

References

[1]
Han, K.H. and Kim, J.H. 2002. Quantum-Inspired Evolutionary Algorithm for a Class of Combinatorial Optimization. IEEE Transactions on Evolutionary Computation, vol. 6, no. 6, pp. 580--593, Dec. 2002.
[2]
Platelt, M. D., Schliebs, S., and Kasabov, N. 2007. A Verstaile Quantum-inspired Evolutionary Algorithm. Proc. of IEEE CEC 2007, 423 -- 430.
[3]
Alba, E., and Dorronsoro, B. 2005. The exploration / exploitation tradeoff in dynamic cellular genetic algorithms. IEEE Trans. Evo. Co. 8, 2, 126--142.
[4]
Goldberg, D., Deb, K., and Horn, J. 1992. Massively multimodaliry, deception, and genetic algorithms. In Proc. Int. Conf. Parallel Prob. Solving from Nature II, R. Männer and B. Manderick, Eds., 1992, pp. 37--46.
[5]
Kennedy, J., and Mendes, R. 2002. Population structure and particle swarm performance. In Proceeding of the 2002 Congress on Evolutionary Computation, Honolulu, Hawali, May12--17, 2002.
[6]
Alba, E., and Tomassini, M. 2002. Parallelism and evolutionary algorithms. IEEE Trans. Evol. Comput., 6, Oct. 2002, 443--462.

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  • (2015)Effect of population structures on quantum-inspired evolutionary algorithmApplied Computational Intelligence and Soft Computing10.1155/2014/9762022014(24-24)Online publication date: 1-Jan-2015

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    cover image ACM Conferences
    GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
    July 2012
    1586 pages
    ISBN:9781450311786
    DOI:10.1145/2330784

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    New York, NY, United States

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    Published: 07 July 2012

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    GECCO '12: Genetic and Evolutionary Computation Conference
    July 7 - 11, 2012
    Pennsylvania, Philadelphia, USA

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    • (2015)Effect of population structures on quantum-inspired evolutionary algorithmApplied Computational Intelligence and Soft Computing10.1155/2014/9762022014(24-24)Online publication date: 1-Jan-2015

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