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Dynamic Objectives Aggregation in Multi-objective Evolutionary Optimization

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  • Gabriella Dellino
  • Mariagrazia Fedele
  • Carlo Meloni

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.

Suggested Citation

  • Gabriella Dellino & Mariagrazia Fedele & Carlo Meloni, 2008. "Dynamic Objectives Aggregation in Multi-objective Evolutionary Optimization," Quaderni DSEMS 06-2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    • Handle: RePEc:ufg:qdsems:06-2008
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    Keywords

    Multi-objective optimization; Evolutionary algorithms; Aggregate objective functions;
    All these keywords.

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