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
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3044418
Abstract: Gaussian processes (GPs) are widely used in surrogate-assisted evolutionary optimization of expensive problems mainly due to the ability to provide a confidence level of their outputs, making it possible to adopt principled surrogate management methods,… read more here.
Keywords: many objective; neural network; network; expensive problems ... See more keywords