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- W82609148 abstract "Differential EvolutionDE is one of the most versatile evolutionary techniques that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Recent developments on DE includes self adaptation of its parameters F=step size and CR=cross-over probability making it a parameter free optimizer. A new self adaptive DEjDE proposed by Janez Brest, is a robust improvement of DE, where the self adaptive parameters undergo similar operations of genetic operators. This paper aims at introducing a unique mutation strategy by modifying the existing DE/rand/1/bin strategy of jDE with Difference Mean Based Perturbation DMP technique. The algorithm addressed as ADE-DMP is basically a variant of jDE, but the modified mutation scheme ensues within the algorithm effective search of area near the current best that effectively proves it to be a better and fast optimizer in complex real world problems of diverse domains." @default.
- W82609148 created "2016-06-24" @default.
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- W82609148 date "2013-01-01" @default.
- W82609148 modified "2023-09-22" @default.
- W82609148 title "Adaptive Differential Evolution with Difference Mean Based Perturbation for Practical Engineering Optimization Problems" @default.
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- W82609148 doi "https://doi.org/10.1007/978-3-319-03753-0_28" @default.
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