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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on cybernetics Jg. 55; H. 3; S. 1224 - 1237
Hauptverfasser:	Wang, Hui, Cai, Tie, Pedrycz, Witold
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2025
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!