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

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

C. A. Conceição António (Author) FEUP

Conference proceedings International

Title: 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

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Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific