Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms

Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs) in order to improve their performance. Although frequency of change and severity of change are the two main perspectives of characterizing dynamic features of the dynamic multi...

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Vydáno v:	Applied soft computing Ročník 85; s. 105783
Hlavní autoři:	Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2019
Témata:	Change detection Characterization of change Dynamic multi-objective evolutionary algorithms Dynamic multi-objective optimization problems Dynamic multi-objective evolutionary algorithms Characterization of change Change detection Dynamic multi-objective optimization problems
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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