Speeding up Composite Differential Evolution for structural optimization using neural networks
Composite Differential Evolution (CoDE) is categorized as a (µ + λ)-Evolutionary Algorithm where each parent produces three trials. Thanks to that, the CoDE algorithm has a strong search capacity. However, the production of many offspring increases the computation cost of fitness evaluation. To over...
Main Authors: | Tran-Hieu Nguyen, Anh-Tuan Vu |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-07-01
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Series: | Journal of Information and Telecommunication |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24751839.2021.1946740 |
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