Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm

The large-scale multi-objective optimization problem exist widely in reality while they have complex constraints. The simultaneous effect of the large-scale decision variables and the complexity of constraints makes the traditional multi-objective evolutionary algorithm face great challenges. For th...

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Vydáno v:	Applied intelligence (Dordrecht, Netherlands) Ročník 53; číslo 18; s. 21027 - 21049
Hlavní autoři:	Fan, Chaodong, Wang, Jiawei, Yang, Laurence T., Xiao, Leyi, Ai, Zhaoyang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2023 Springer Nature B.V
Témata:	Artificial Intelligence Complex variables Complexity Computer Science Constraints Distributed generation Evolutionary algorithms Genetic algorithms Machines Manufacturing Mechanical Engineering Multiple objective analysis Optimization Processes Constraint handling Multi-objective optimization Large-scale optimization Evolutionary algorithm
ISSN:	0924-669X, 1573-7497
On-line přístup:	Získat plný text
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