Objective reduction based on nonlinear correlation information entropy
نویسندگان
چکیده
منابع مشابه
Objective reduction based on nonlinear correlation information entropy
It is hard to obtain the entire solution set of a many-objective optimization problem (MaOP) by multiobjective evolutionary algorithms (MOEAs) because of the difficulties brought by the large number of objectives. However, the redundancy of objectives exists in some problems with correlated objectives (linearly or nonlinearly). Objective reduction can be used to decrease the difficulties of som...
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ژورنال
عنوان ژورنال: Soft Computing
سال: 2015
ISSN: 1432-7643,1433-7479
DOI: 10.1007/s00500-015-1648-y