Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions
Abstract Numerous surrogate-assisted evolutionary algorithms are developed for multi-objective expensive problems with low dimensions, but scarce works have paid attention to that with high dimensions, i.e., generally more than 30 decision variables. In this paper, we propose a multi-mode radial bas...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01737-0 |
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