Differential evolution is a fast, robust, and simple population-based stochastic search algorithm for global optimization, which has been widely applied in ...
Differential evolution with multi-stage strategies for global optimization
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Abstract—Differential evolution is a fast, robust, and simple population-based stochastic search algorithm for global optimiza-.
Numerical experiments show that the proposed DEMS is significantly better than, or at least comparable to several state-of-the-art DE variants, ...
Mar 15, 2024 · This study introduces a novel differential evolution algorithm with a stage stratification method and a dual balanced mutation strategy framework, named SbmDE.
This research paper introduces a novel algorithm called Enhanced Binary JADE (EBJADE), which combines differential evolution with multi-population and elites ...
Bibliographic details on Differential evolution with multi-stage strategies for global optimization.
The differential evolution (DE) algorithm is a simple and efficient population-based evolutionary algorithm. In DE, the mutation strategy and the control ...
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Abstract—In this paper, we propose a new unified differential evolution (uDE) algorithm for single objective global optimiza-.
In this paper, the basic characteristics of the differential evolution (DE) are examined. Thus, one is the meta-heuristics, and the other is the global ...
Missing: stage strategies
Oct 22, 2024 · Differential evolution uses a cost measure to numerically determine the quality of a proposed solution against a desired solution and various ...