Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94672
Type: Artigo de periódico
Title: Availability Optimization With Genetics Algorithms [otimização Da Disponibilidade Com Algoritmos Genéticos]
Author: De Castro H.F.
Cavalca K.L.
Abstract: This paper presents an availability optimization problem of an engineering series system, which has the redundancy of subsystems and the number of teams of maintenance as optimization parameters. The objective is to reach the maximum value of the availability, considering installation and maintenance cost, weight, volume and available maintenance teams as restrictions. The optimization method used was the Genetic Algorithm, which is based on biological concepts of species evolution. It is a robust method, because it does not converge to local optimum. It does not need the use of differential calculus, facilitating the computational implementation. The proposed search method (Genetic Algorithms) is easy to be implemented and suficinetly robust for the proposed problem. It reached the global optimum region with this method.
Editor: 
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-26944446194&partnerID=40&md5=da131a03268515e246be0c9651ed22bc
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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