Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Author:
Affiliation:
1. Leiden Institute of Advanced Computer Science, Leiden University,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022049/10022014/10022132.pdf?arnumber=10022132
Reference38 articles.
1. Multi-fidelity optimization via surrogate modelling
2. Mixed-integer benchmark problems for single- and bi-objective optimization
3. Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
4. A comparative study of expected improvement-assisted global optimization with different surrogates
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1. Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey;Complex & Intelligent Systems;2024-05-18
2. Evolutionary Algorithms for Parameter Optimization—Thirty Years Later;Evolutionary Computation;2023
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