Abstract
Differential Evolution (DE) algorithm is a real parameter encoded evolutionary algorithm for global optimization. In this paper, Levy distributed DE (LevyDE) has been proposed. The main objective of LevyDE algorithm is to introduce a parameter control mechanism in DE based on levy distribution, a heavy tail distribution, for both the mutation and crossover operations. The main emphasis of this paper is to analyze the behavior and dynamics of the LevyDE and make a comparison with other standard algorithms such as DE/best/1/bin [1], DE/rand/1/bin [1] and ACDE [8] on basis of CEC’05 benchmark functions.
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Keywords
- Differential Evolution
- Differential Evolution Algorithm
- Benchmark Function
- Mutation Strategy
- Heavy Tail Distribution
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Jana, N.D., Hati, A.N., Darbar, R., Sil, J. (2013). Real Parameter Optimization Using Levy Distributed Differential Evolution. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_85
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DOI: https://doi.org/10.1007/978-3-642-45062-4_85
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