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    Varying Variants for AncDE with MDV Between Target and Trial Vector (MDV) Measurement

    Salleh, Siti Khadijah Mohd and O'Donoghue, Diarmuid and Shibghatullah, Abdul Samad and Abas, Zuraida Abal (2018) Varying Variants for AncDE with MDV Between Target and Trial Vector (MDV) Measurement. Journal of Telecommunication, Electronic and Computer Engineering, 10 (2-5). pp. 155-160. ISSN 2180-1843

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    This paper compares standard Differential Evolution algorithm with AncDE, which adds a separate cache of recent ancestors that serve as an additional source of highquality genetic information. We compare the solutions produced by both DE and AncDE algorithms using benchmarks of 15 different numeric optimisation problems. Two distinct explorations are presented. The first test is distinct algorithmic variants of AncDE. The second part of this paper defines an MDV attribute and results are presented indicating some interesting differences in MDV between the DE and AncDE algorithms. Our findings indicate that ancestors can help to overcome some of the local variations in solutions quality and improve solution quality by improving population diversity.

    Item Type: Article
    Keywords: Different Vector; Ancestor Archive; Ancestor Usage Probability; Ancestor Replacement Probability; Trial Vector; Donor Vector;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 13082
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 23 Jun 2020 14:14
    Journal or Publication Title: Journal of Telecommunication, Electronic and Computer Engineering
    Publisher: Universiti Teknikal Malaysia Melaka
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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