Abstract
In this article a multi-population based DE-variant has been proposed to tackle DOPs. The algorithm, denoted as MPBDE-SES uses a self exploitative scheme along with classical DE. Moreover it also uses Brownian and Quantum individuals. An aging mechanism has been incorporated to get rid of stagnation. Apart from this exclusion principle, repulsion scheme and a recombination based mutation strategy causes uniform distribution of the subpopulation over the entire search space which enhances the tracking ability of the algorithm. Performance of MPBDE-SES has been tested over the suite of benchmark problems used in Competition on Evolutionary Computation in Dynamic and Uncertain Environments, held under the 2009 IEEE Congress on Evolutionary Computation (CEC) and compared with six state-of-the-art EAs. The results obtained clearly and statistically outperform the other algorithms.
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Kundu, R., Mukherjee, R., Debchoudhury, S. (2012). Multipopulation Based Differential Evolution with Self Exploitation Strategy. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_32
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DOI: https://doi.org/10.1007/978-3-642-35380-2_32
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