Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm

A novel dynamic multi-objective optimization evolutionary algorithm is proposed in this paper to track the Pareto-optimal set of time-changing multi-objective optimization problems. In the proposed algorithm, to initialize the new population when a change is detected, a modified prediction model uti...

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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 43; číslo 1; s. 192 - 207
Hlavní autori:	Liu, Ruochen, Fan, Jing, Jiao, Licheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2015 Springer Nature B.V
Predmet:	Antibodies Artificial Intelligence Computer Science Genetic algorithms Immune system Machines Manufacturing Mechanical Engineering Mutation Optimization algorithms Optimization techniques Pareto optimum Performance evaluation Population Processes Dynamic multiobjective optimization Forecasting model Self adaptive differential evolution
ISSN:	0924-669X, 1573-7497
On-line prístup:	Získať plný text
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