Differential Evolution with Controlled Annihilation and Regeneration of Individuals and A Novel Mutation Scheme
Differential Evolution is a stochastic, population-based optimization algorithm, which grew out of the need to optimize real-parameter, real-valued functions. The Differential Evolution variant that we propose to describe in this paper modifies the mutation scheme of the variant DE/best/1. We propose a three tier mutation scheme, to be suitably carried out on selected sections of the population in question. Also, the proposed variant tries to lessen the myriad troubles posed by stagnation, which is a problem faced by all Differential Evolution algorithms. Our comparative studies indicate that the proposed variant is able to compete in a direction parallel to the state-of-the-art Differential Evolution variants like JADE and jDE.
Keywordsoptimization Differential Evolution(DE) novel mutation scheme stagnation
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- 9.Storn, R., Price, K.V.: Differential Evolution A simple and efficient adaptive scheme for global optimization over continuous spaces, ICSI, Berkeley, CA. Tech. Rep. TR-95-012Google Scholar
- 10.Storn, R., Price, K.V.: Minimizing the real functions of the ICEC 1996 contest by differential evolution. In: Proc. IEEE Int. Conf. Evol. Comput., Nagoya, Japan, pp. 842–844 (1996)Google Scholar
- 11.Suganthan, P.N., Hansen, N., Liang, J.J., Deb, K., Chen, Y.P., Auger, A., Tiwari, S.: Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Nanyang Technol. Univ., Singapore (2005)Google Scholar