Dynamic Objectives Aggregation in Multi-objective Evolutionary Optimization
AbstractSeveral approaches for solving multi-objective optimization problems entail a form of scalarization of the objectives. This paper proposes a study of different dynamic objectives aggregation methods in the context of evolutionary algorithms. These methods are mainly based on both weighted sum aggregations and curvature variations. A comparison analysis is presented on the basis of a campaign of computational experiments on a set of benchmark problems from the literature.
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Bibliographic InfoPaper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 06-2008.
Length: 13 pages
Date of creation: Mar 2008
Date of revision:
Multi-objective optimization; Evolutionary algorithms; Aggregate objective functions;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-10-13 (All new papers)
- NEP-CMP-2008-10-13 (Computational Economics)
- NEP-EVO-2008-10-13 (Evolutionary Economics)
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