A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making. MOEA/Ds work by decomposing the target multiobjective optimization problem (MOP) into multiple single-objective sub...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on evolutionary computation Ročník 24; číslo 4; s. 634 - 649
Hlavní autoři:	Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Computer science Decision making Decomposition Decomposition-based MOEA Evolutionary algorithms Evolutionary computation Genetic algorithms Mopping multiobjective evolutionary algorithms multiobjective evolutionary algorithms based on decomposition (MOEA/D) Multiple objective analysis Pareto optimization Shape Sociology Weight weight vector adjustment
ISSN:	1089-778X, 1941-0026
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!