Author/Authors :
Salleh , Siti Khadijah Mohd Department of Infornation and Communication Technology - Universiti Teknikal Malaysia Melaka - Melaka, Malaysia , Asmai , Siti Azirah Department of Infornation and Communication Technology - Universiti Teknikal Malaysia Melaka - Melaka, Malaysia , Abas , Zuraida Abal Department of Infornation and Communication Technology - Universiti Teknikal Malaysia Melaka - Melaka, Malaysia , Shibghatullah, Abdul Samad Faculty of Business & Information Science - UCSI University Kuala Lumpur - Kuala Lumpur, Malaysia , O’Donoghue, Diarmuid Department of Computer Science - Maynooth University - Co. Kildare, Ireland
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.
Keywords :
Parameter controller , Gaussian distribution , Ancestor vector , Differential evolution
