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This paper considers the tuning problem for a variant of Evolutionary Algorithms known as Differential Evolution (DE). Differential Evolution is sensitive to ...
Jul 8, 2016 · Abstract—Evolutionary Algorithms have found great utility in most engineering applications, especially in control systems.
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Article "Entropic Differential Evolution - eDE" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology ...
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of evolution and has been studied extensively to solve different ...
In order to balance the exploration and exploitation ability of differential evolution (DE), different mutation strategy for different evolutionary stages ...
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This paper proposes a fully adaptive Differential Evolution which requires no parameter tuning; the user is only required to set the population size and ...
Differential evolution algorithm based on entropy weight method to determine the weight to optimize the configuration of wind, solar, and diesel microgrid.
Jan 19, 2014 · I implemented a differential evolution algorithm for a side project I was doing. Because the crossover step seemed to involve a lot of parameter ...
Missing: ℯDE. | Show results with:ℯDE.
Elahesadat Naghib, Amin Nobakhti: Entropic Differential Evolution - ℯDE. ACC 2016: 2440-2446. [+][–]. Coauthor network. maximize.
Firstly, the individual entropy method is constructed to quantify the diversity of population, and the relationship between population diversity and convergence ...
Missing: ℯDE. | Show results with:ℯDE.