A switched parameter differential evolution with optional blending crossover for scalable numerical optimization

A Ghosh, S Das, SS Mullick, R Mallipeddi… - Applied Soft Computing, 2017 - Elsevier
Differential Evolution (DE) is currently one of the most competitive Evolutionary Algorithms
(EAs) for optimization problems involving continuous parameters. This article presents three …
被引用次数：45 相关文章

A switched parameter differential evolution with optional blending crossover for scalable numerical optimization

A Ghosh, S Das, SS Mullick, R Mallipeddi… - Applied Soft …, 2017 - dl.acm.org
Display Omitted A simple yet very efficient variant of DE for scale-free optimization. Novel
switching based adaptation of F and Cr parameters. A unit memory success-based mutation …

[引用][C] A switched parameter differential evolution with optional blending crossover for scalable numerical optimization

A Ghosh, S Das, SS Mullick, R Mallipeddi… - Applied Soft …, 2017 - cir.nii.ac.jp
A switched parameter differential evolution with optional blending crossover for scalable
numerical optimization | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …
[PDF] researchgate.net

[PDF][PDF] A Switched Parameter Differential Evolution with Optional Blending Crossover for Scalable Numerical Optimization

A Ghosh, S Das, SS Mullick, R Mallipeddi, AK Das - researchgate.net
Differential Evolution (DE) is currently one of the most competitive Evolutionary Algorithms
(EAs) for optimization problems involving continuous parameters. This article presents three …

A switched parameter differential evolution with optional blending crossover for scalable numerical optimization

A Ghosh, S Das, SS Mullick… - Applied Soft …, 2017 - digitalcommons.isical.ac.in
Differential Evolution (DE) is currently one of the most competitive Evolutionary Algorithms
(EAs) for optimization problems involving continuous parameters. This article presents three …