An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization

Contemporary real-world optimization benchmarks are subject to many constraints and are often high-dimensional problems. Typically, such problems are expensive in terms of computational time and cost. Conventional constraint-based solvers that are used to tackle such problems require a considerable...

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Bibliographic Details
Main Authors: Noor H. Awad, Mostafa Z. Ali, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142645
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Institution: Nanyang Technological University
Language: English
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