Interval Multiobjective Optimization With Memetic Algorithms

One of the most important and widely faced optimization problems in real applications is the interval multiobjective optimization problems (IMOPs). The state-of-the-art evolutionary algorithms (EAs) for IMOPs (IMOEAs) need a great deal of objective function evaluations to find a final Pareto front w...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on cybernetics Ročník 50; číslo 8; s. 3444 - 3457
Hlavní autori:	Sun, Jing, Miao, Zhuang, Gong, Dunwei, Zeng, Xiao-Jun, Li, Junqing, Wang, Gaige
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Desalination Evolutionary algorithm (EA) Evolutionary algorithms interval IP networks Linear programming memetic algorithm (MA) Memetics multiobjective optimization Multiple objective analysis Optimization Pareto optimization Search problems Searching Sun Uncertainty
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!