Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey
Sign Up to like & getrecommendations! Published in 2024 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2024.124320
Abstract: Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization problems. The past decade has also witnessed their fast progress to solve a class of… read more here.
Keywords: survey; evolutionary optimization; high dimensional; expensive problems ... See more keywords
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