Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization

This paper presents a cooperative differential evolution (DE) with multiple populations for multiobjective optimization. The proposed algorithm has M single-objective optimization subpopulations and an archive population for an M-objective optimization problem. An adaptive DE is applied to each subp...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on cybernetics Ročník 46; číslo 12; s. 2848 - 2861
Hlavní autoři:	Wang, Jiahai, Zhang, Weiwei, Zhang, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Approximation methods Archive search Archives & records Computer simulation cooperative populations Customer relationship management differential evolution (DE) Estimation Evolutionary algorithms Evolutionary computation Frequency modulation many-objective optimization Mathematical programming multiobjective optimization Multiple objective analysis Optimization Parameter sensitivity Pareto optimization Populations Sociology Statistics
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!