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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE access Ročník 12; s. 1
Hlavní autori:	Shang, Jin, Li, Guiying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!