Dynamic Objectives Aggregation in Multi-objective Evolutionary Optimization

Gabriella Dellino, Mariagrazia Fedele () and Carlo Meloni

Quaderni DSEMS from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia

Abstract: Several 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.

Keywords: Multi-objective optimization; Evolutionary algorithms; Aggregate objective functions (search for similar items in EconPapers)
Pages: 13 pages
Date: 2008-03
New Economics Papers: this item is included in nep-cmp and nep-evo
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Persistent link: https://EconPapers.repec.org/RePEc:ufg:qdsems:06-2008

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