Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures

In this study the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is mainly investigated to achieve the following objectives: (i) to present an ESs based solution algorithm for efficient optimum design of large structural systems consisting of...

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Veröffentlicht in:Computers & structures Jg. 86; H. 1; S. 119 - 132
1. Verfasser: HASANCEBI, O
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 2008
Elsevier Science
Schlagworte:
Adaptive evolution strategies (ESs)
Adaptive penalty function
Computational techniques
Evolutionary algorithms
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Mathematical methods in physics
Physics
Size/shape optimum design of trusses
Solid mechanics
Static elasticity (thermoelasticity...)
Structural and continuum mechanics
Structural optimization
Truss bridge design
Adaptive penalty function
Truss bridge design
Size/shape optimum design of trusses
Evolutionary algorithms
Structural optimization
Adaptive evolution strategies (ESs)
Geometrical shape
Evolutionary algorithm
Complex system
Large scale structure
Modeling
Geometrical model
Penalty method
Optimization
Dimensioning
Bridges
Penalty function
Truss structure
Genetic algorithm
Discrete programming
Structural analysis
ISSN:0045-7949, 1879-2243
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Zusammenfassung:In this study the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is mainly investigated to achieve the following objectives: (i) to present an ESs based solution algorithm for efficient optimum design of large structural systems consisting of continuous, discrete and mixed design variables; (ii) to integrate new parameters and methodologies into adaptive ESs to improve the computational performance of the algorithm; and (iii) to assess successful self-adaptation models of ESs in continuous and discrete structural optimizations. A numerical example taken from the literature is studied in depth to verify the enhanced performance of the algorithm, as well as to scrutinize the role and significance of self-adaptation in ESs for a successfully implemented optimization process. Besides, the utility of the algorithm for practical structural engineering applications is demonstrated using a bridge design example. It is shown that adaptive ESs are reliable and powerful tools, and well-suited for optimum design of complex structural systems, including large-scale structural optimization.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2007.05.012