AncDE with gaussian distribution for numerical optimization problem

International Journal of Advances in Intelligent Informatics

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Field Value
 
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
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/258
10.26555/ijain.v5i1.258
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 1 (2019): March 2019; 48-57
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/258/ijain_v5i1_p48-57
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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