Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3102298
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) are well suited for computationally expensive optimization. However, most existing SAEAs only focus on low- or medium-dimensional expensive optimization. Thus, a novel SAEA for high-dimensional expensive optimization, denoted as surrogate-assisted multipopulation… read more here.
Keywords: surrogate assisted; dimensional expensive; particle swarm; swarm optimizer ... See more keywords
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3219080
Abstract: The surrogate-assisted evolutionary algorithm (SAEA) is one of the most efficient approaches for solving expensive optimization problems. However, it still faces challenges when dealing with complex and high-dimensional problems. To fill this gap, a new… read more here.
Keywords: surrogate assisted; evolutionary optimization; expensive optimization; model free ... See more keywords
Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3519537
Abstract: Surrogate-assisted evolutionary algorithms for addressing expensive optimization problems with both continuous and categorical variables (EOPCCVs) are still in the early stages of development. This study makes significant advancements by leveraging the mixed-variable nature of EOPCCVs… read more here.
Keywords: categorical variables; customized evolutionary; continuous categorical; optimization ... See more keywords
Probability Selection-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
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DOI: 10.3390/app152111404
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have emerged as a powerful class of optimization methods that utilize surrogate models to address expensive optimization problems (EOPs), where fitness evaluations (FEs) are expensive or limited. By leveraging previously evaluated… read more here.
Keywords: assisted evolutionary; surrogate; expensive optimization; selection ... See more keywords