AncDE with gaussian distribution for numerical optimization problem

International Journal of Advances in Intelligent Informatics

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Title AncDE with gaussian distribution for numerical optimization problem
Creator Mohd Salleh, Siti Khadijah
Asmai, Siti Azirah
Abal Abas, Zuraida
Shibghatullah, Abdul Samad
O'Donoghue, Diarmuid
Subject Differential evolution; Ancestor vector; Gaussian distribution; Parameter controller
Description This work is introducing an enhanced Differential Evolution (DE) called AncDE. This proposed algorithm is using an additional population from the current generation and located it as ancestor. There are two parameter controllers to manage the selection of ancestor vector; aup for selection frequency and arp for age of selection. In this work we were applying Gaussian distribution on aup and we tested it on CEC 2015 Numerical Optimization Problem. Standard Differential Evolution will act as the benchmark. The result shows that AncDE with Gaussian approach has produced better result than standard DE.
Publisher Universitas Ahmad Dahlan
Contributor Universiti Teknikal Malaysia Melaka
Date 2019-02-25
Type info:eu-repo/semantics/article

Format application/pdf
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 1 (2019): March 2019; 48-57
Language eng

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