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/...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 9; S. 122509 - 122531
Hauptverfasser:	Yang, Wusi, Chen, Li, Li, Yanyan, Zhang, Jue
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!