Function optimization using differential evolution without explicit parameter tuning

This thesis investigated the possibility of developing a new version of the Differential Evolution (DE) algorithm that does not require explicit tuning of any of its evolutionary parameters. Similar to other types of canonical evolutionary algorithms, DE requires the user to manually hand-tune the...

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Détails bibliographiques
Auteur principal: Teng, Nga Sing
Format: Thèse
Langue:anglais
Publié: 2007
Sujets:
Accès en ligne:https://eprints.ums.edu.my/id/eprint/9604/1/mt0000000482.pdf
https://eprints.ums.edu.my/id/eprint/9604/
Abstract Abstract here