2016
DOI: 10.1007/978-3-319-47054-2_40
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Differential Evolution with Self-adaptive Gaussian Perturbation

Abstract: Differential evolution is a population-based metaheuristic that is widely used in Black-Box Optimization. The mutation is the main search operator and there are different implementation schemes reported in state of art literature. Nonetheless, such schemes lack mechanisms for an intensification stage, which can enable better search and avoid local optima. This article proposes a way to adapt the Covariance Matrix parameter of a Gaussian distribution that is used to generate a disturbance that improves the perf… Show more

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