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Siti Khadijah Mohd Salleh
Universiti Teknikal Malaysia Melaka
Computer Science & IT

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AncDE with gaussian distribution for numerical optimization problem Siti Khadijah Mohd Salleh; Siti Azirah Asmai; Zuraida Abal Abas; Abdul Samad Shibghatullah; Diarmuid O'Donoghue
International Journal of Advances in Intelligent Informatics Vol 5, No 1 (2019): March 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i1.258

Abstract

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.
Co-Authors Abdul Samad Shibghatullah Diarmuid O'Donoghue Siti Azirah Asmai Zuraida Abal Abas