Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54360
Title: Gray coding in evolutionary multicriteria optimization: Application in frame structural optimum design
Authors: Greiner, David 
Winter, Gabriel 
Emperador, José M. 
Galván, Bias
UNESCO Clasification: 1206 Análisis numérico
Keywords: Algorithms
Strategies
Issue Date: 2005
Journal: Lecture Notes in Computer Science 
Conference: 3rd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005) 
Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005 
Abstract: A comparative study of the use of Gray coding in multicriteria evolutionary optimisation is performed using the SPEA2 and NSGAII algorithms and applied to a frame structural optimisation problem. A double minimization is handled: constrained mass and number of different cross-section types. Influence of various mutation rates is considered. The comparative statistical results of the test case cover a convergence study during evolution by means of certain metrics that measure front amplitude and distance to the optimal front. Results in a 55 bar-sized frame test case show that the use of the Standard Binary Reflected Gray code compared versus Binary code allows to obtain fast and more accurate solutions, more coverage of non-dominated fronts; both with improved robustness in frame structural multiobjective optimum design.
URI: http://hdl.handle.net/10553/54360
ISBN: 3-540-24983-4
ISSN: 0302-9743
Source: Coello Coello C.A., Hernández Aguirre A., Zitzler E. (eds) Evolutionary Multi-Criterion Optimization. EMO 2005. Lecture Notes in Computer Science, vol 3410. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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