This work presents an application of the simulated annealing algorithm to redundant system reliability optimization, and its objective is to analyze this method and compare to other optimization methods, which are Genetic Algorithm, Evolution Strategy and Lagrange Multipliers. A hidrid optimization algorithm, composed by Simulated Annealing and Genetic Algorithm, is also developed in this work, to conciliate the advantages of both methods. The results presented by the Simulated Annealing and the hybrid algorithm are significant and validate these methods as robust tools for parameters optimization in engineering systems developments


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    Title :

    Application of Simulated Annealing Algorithm in the Reliability Optimization of Redundant System


    Additional title:

    Sae Technical Papers



    Conference:

    2004 SAE Brasil Congress and Exhibit ; 2004



    Publication date :

    2004-11-16




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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