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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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Submitted on : Wednesday, May 24, 2006 - 11:42:58 AM
Last modification on : Saturday, January 27, 2018 - 1:31:01 AM
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  • HAL Id : inria-00073055, version 1

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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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