Kriging Surrogate Model-Based Constraint Multiobjective Particle Swarm Optimization Algorithm

The main challenge when solving constrained multiobjective optimization problems (CMOPs) with intricate constraints and high dimensionality is how to overcome a problem of irregular and variable-shaped objective search regions. Such regions can lead to problems of local optimization and uneven distr...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on cybernetics Ročník 55; číslo 3; s. 1224 - 1237
Hlavní autori:	Wang, Hui, Cai, Tie, Pedrycz, Witold
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.03.2025
Predmet:	Bayes methods Constraint multiobjective particle swarm optimization (PSO) algorithm Costs Entropy Kriging model Kriging surrogate model-based local search of simplex crossover operator (KLSSCO) Mathematical models Optimization Particle swarm optimization Robustness Scalability Search problems Shape simple cross-over
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!