Crossover-first differential evolution for improved global optimization in non-uniform search landscapes

The differential evolution (DE) algorithm is currently one of the most widely used evolutionary-based optimizers for global optimization due to its simplicity, robustness and efficiency. The DE algorithm generates new candidate solutions by first conducting the mutation operation which is then follo...

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Bibliographic Details
Main Authors: Teo, Jason Tze Wi, Mohd Hanafi Ahmad Hijazi, Hui, Keng Lau, Salmah Fattah, Aslina Baharum
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2015
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/19160/1/Crossover.pdf
https://eprints.ums.edu.my/id/eprint/19160/
https://doi.org/10.1007/s13748-015-0061-1
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