A Hybrid Composite Differential Evolution and Multiobjective Particle Swarm Optimization Evolutionary Algorithm and Its Application

The current multi-objective particle swarm algorithms excel in convergence speed for solving complex problems but often suffer from a loss of population diversity. Conversely, composite differential evolution algorithms maintain superior solution distribution but lag in convergence efficiency. This...

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Veröffentlicht in:	IEEE access Jg. 12; S. 1
Hauptverfasser:	Shang, Jin, Li, Guiying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cluster analysis Clustering Clustering algorithm Clustering algorithms composite differential evolution Convergence Evolutionary algorithms Evolutionary computation gear reducer Generations Hybrid composites Interconnected systems multiobjective optimization Multiple objective analysis Optimization Pareto optimization particle swarm algorithm Particle swarm optimization Populations Social factors Statistics
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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