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Author(s): Carlos Alberto Conceição António
Title: Adaptive properties in Genetic Algorithms applied to structural optimization
Issue Date: 2007
Abstract: From pioneer works of Holland (1975) and Goldberg (1989) until now the objectiveof research in Genetic Algorithms (GAs) has been to increase the efficiency ofalgorithms. The two most relevant conclusions can be extracted from literatureare: first, the importance of randomness of the main operators namely selection,crossover and mutation, and second the referred randomness improves the initialpopulation fitness inducing its evolution towards the global optimum. However,some aspects of GAs are not explained and the optimality conditions of themethod stay unknown. Most of the remaining information on efficiency ofalgorithms has heuristic nature or is deduced from numerical tests applied tosimple examples.Despite the above considerations it is recognized that GA efficiency improvesclearly if some adaptive rules are included. In the present work, adaptiveproperties in GAs applied to structural optimization are studied. Here, adaptiverules perform using additional information related with the behavior of state anddesign variables of the structural problem. At each generation the adaptation ofgenetic parameters to evolutionary conditions aims to improve the efficiency ofgenetic search. The introduction of adaptive rules occurs at three levels: (i) whendefining the search domain at each generation; (ii) considering a crossoveroperator based on commonality and local improvements; and (iii) by controllingmutation including behavioral data.
Subject: Ciências Tecnológicas
Technological sciences
Source: Optimization 2007
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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