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Differential evolution enhanced with evolution path vector

Authors
Li, Yuan-LongZhan, Zhi-HuiZhang, Jun
Issue Date
Jul-2013
Publisher
ACM
Keywords
CMA-ES; Differential evolution; Estimated distribution algorithm; Hybrid algorithm; Non-parametric model; Parametric model
Citation
GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, pp 123 - 124
Pages
2
Indexed
SCOPUS
Journal Title
GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Start Page
123
End Page
124
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117797
DOI
10.1145/2464576.2464637
Abstract
and centralized model (CM) offspring generation models, this paper proposes to use the differential evolution (DE) algorithm as the base population reproduction method and enhance its DM scheme with one of the key CM features, which is the covariance matrix adaptation (CMA) used in CMA-ES. In this way, an enhanced DE population reproduction scheme with evolution path (DE/EP) is developed. The proposed DE/EP scheme is kept almost as simple as the original DE but works better due to the advantages of the CMA feature.
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COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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