Numerical Solution of Optimization Test-Cases by Genetic Algorithms

Abstract : In this report, we present the numerical solution of four optimization problems by Genetic Algorithms (GAs). The test-cases involve two single-object- ive and two multi-objective optimization problems. In all four cases, the analytical functions to be optimized present a large number of local optima and the GA is demonstrated to be the most adequate optimizer. These four test-cases are part of the database developed within the INGENET European thematic network.
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Rapport
RR-3622, INRIA. 1999
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Nathalie Marco-Blaszka, Jean-Antoine Desideri. Numerical Solution of Optimization Test-Cases by Genetic Algorithms. RR-3622, INRIA. 1999. 〈inria-00073055〉

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