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...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 55; no. 3; pp. 1224 - 1237
Main Authors:	Wang, Hui, Cai, Tie, Pedrycz, Witold
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.03.2025
Subjects:	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 Access:	Get full text
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