Optimization of finite element bidimensional models: an approach based on genetic algorithms

This paper deals with the optimization of 2D finite element shapes using the very promising methods based on genetic algorithms. The codification of the design variables is carried out by generating series of strings in binary code. Classical genetic operators such as crossover, mutation and reprodu...

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Bibliographic Details
Published inFinite elements in analysis and design Vol. 29; no. 3; pp. 231 - 257
Main Authors Annicchiarico, W, Cerrolaza, M
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 15.06.1998
Elsevier
Subjects
Exact sciences and technology
Finite elements
Fundamental areas of phenomenology (including applications)
Genetic algorithms
Physics
Shape optimization
Solid mechanics
Static elasticity
Static elasticity (thermoelasticity...)
Structural and continuum mechanics
Finite elements
Shape optimization
Genetic algorithms
Finite element method
Stress concentration
Geometrical shape
Truss structure
Genetic algorithm
Numerical method
Optimization
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ISSN0168-874X
1872-6925
DOI10.1016/S0168-874X(98)00022-5

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Summary:This paper deals with the optimization of 2D finite element shapes using the very promising methods based on genetic algorithms. The codification of the design variables is carried out by generating series of strings in binary code. Classical genetic operators such as crossover, mutation and reproduction are used for the optimization process. A more refined operators needed to improve the performance of the process are used as well. Some illustrative examples are presented and discussed
Bibliography:ObjectType-Article-2
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ISSN:0168-874X
1872-6925
DOI:10.1016/S0168-874X(98)00022-5