Multi-objective self-adaptive genetic search for structural robust design

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

C. A. Conceição António (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of The Tenth International Conference on Computational Structures Technology

The Tenth International Conference on Computational Structures Technology

Valencia-Spain, 14 a 17 de Setembro de 2010

Indexação

ISI Proceedings

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-00A-B58

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica