Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54706
Title: A comparative study of the influence of codification on discrete optimum design of frame structures
Authors: Greiner, David 
Díaz Padilla, Noelia del Carmen 
Emperador, J. M. 
Galván González, Blas José 
Winter Althaus, Gabriel 
UNESCO Clasification: 120601 Construcción de algoritmos
1202 Análisis y análisis funcional
Keywords: Evolutionary Algorithms
Frames
Gray Codification
Structural Optimization
Issue Date: 2013
Publisher: 1759-3433
Journal: Civil-Comp Proceedings 
Conference: 3rd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, CSC 2013 
Abstract: This paper is concerned with the influence of the codification type on the optimization of frame structures for constrained minimum weight, when using discrete variables: cross-section types corresponding to standard profiles. Three different codifications are compared: standard binary, standard reflected gray, and other binary codification with a greater number of different bits between consecutive integers. The focus of the work described is on determining how the codification selection influences the final performance of the algorithm, considering in addition two population sizes and two crossover types. A generational evolutionary algorithm with ranking selection and low generation gap is tested in a well known fifty-five bar sized frame structural test case. Results have been obtained from executing one hundred independent runs of each parameter/codification combination, which means twelve different algorithm outcomes. The gray code obtains the best results, and codification influence has a greater impact than the other considered factors (population size or crossover type). The experimentation performed in this single optimization work points out that the quality of the solutions is greatly affected by the codification, being the selection of gray codification of major importance in the algorithmic tuning of parameters in the evolutionary optimization of the structural optimum design problem. © Civil-Comp Press, 2013.
ISBN: 9781905088331
ISSN: 1759-3433
DOI: 10.4203/ccp.103.6
Source: Civil-Comp Proceedings [ISSN 1759-3433],v. 103
Appears in Collections:Actas de congresos
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