A Constrained Multi/Many-Objective Particle Swarm Optimization Algorithm With a Two-Level Balance Scheme

Constrained multi-objective optimization problems are common in practical engineering and are more difficult to handle than unconstrained problems. In general, it is necessary to find a balance between the convergence and diversity of solutions, as well as its feasibility. For the constrained multi/...

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Vydané v:	IEEE access Ročník 9; s. 122509 - 122531
Hlavní autori:	Yang, Wusi, Chen, Li, Li, Yanyan, Zhang, Jue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Chebyshev approximation Constrained multi/many-objective optimization constraint dominance principle Constraints Convergence Diversity reception Evolutionary algorithms Feasibility Fitness fitness ranking Mathematical analysis Multiple objective analysis Optimization Optimization algorithms Pareto optimization Particle swarm optimization Sociology Statistics two-level balance scheme Utility functions
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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