Intelligent optimal design of spatial structures

•The evolutionary and swarm tools for topology optimization are proposed.•The approaches are free from limitations connected with gradient optimization methods.•The use of interpolation surface reduces the number of design variables.•The level set surface is controlled by the chromosome or the parti...

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Bibliographic Details
Published in:Computers & structures 2013-10, Vol.127, p.102-115
Main Authors: Burczyński, T., Szczepanik, M.
Format: Article
Language:English
Subjects:
Computer aided design
Criteria
Evolutionary algorithms
Finite element method
Level set method
Mathematical analysis
Mathematical models
Optimization
Particle swarm optimizer
Soft computing
Swarm intelligence
Topology optimization
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Summary:•The evolutionary and swarm tools for topology optimization are proposed.•The approaches are free from limitations connected with gradient optimization methods.•The use of interpolation surface reduces the number of design variables.•The level set surface is controlled by the chromosome or the particle.•The numerical examples confirm the efficiency of proposed optimization methods. The paper deals with an application of the evolutionary algorithm (EA) and the particle swarm optimizer (PSO), to the optimization of shape, topology and material properties of spatial structures. Structures considered in this work are analyzed by the finite element method (FEM). Optimization criteria that are taken into account concern minimize mass and/or compliance. Numerical examples demonstrate that the method based on soft computing is a very effective technique for solving computer aided optimal design.
ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2013.04.029