Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/92206
Author(s): C. A. Conceição António
Title: Multi-objective self-adaptive genetic search for structural robust design
Issue Date: 2010
Abstract: An approach for structural robust design that simultaneously considers minimum weight/cost and minimum strain energy related with maximum performance is proposed in this paper. The trade-off between the performance target, depending on given stress, displacement and buckling constraints imposed on composite structures, against minimum weight/cost, is searched. The Pareto-optimal front is built using the concept of Pareto dominance in order to assign scalar fitness values to individuals. Such a challenge is performed using a hierarchical genetic algorithm with co-evolution of multi-populations. A self-adaptive genetic search incorporating Pareto dominance is presented. The proposed methodology adopts an elitist strategy storing the non-dominated solutions found during the evolutionary process. © Civil-Comp Press, 2010.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://repositorio-aberto.up.pt/handle/10216/92206
Source: Proceedings of The Tenth International Conference on Computational Structures Technology
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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