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A comparative study of genetic algorithms for the multi-objective optimization of composite stringers under compression loads

Elsevier

Manager: Ministerio de Ciencia e Innovaci贸n (Espanya)
Date: 2018 June 1
Document access: http://hdl.handle.net/2072/312574
Publisher: Elsevier
Rights: Tots els drets reservats
Subject: Carbon fibers
Finite element method
Genetic algorithms
Numerical analysis
Fibres de carboni
Elements finits, M猫tode dels
Algoritmes gen猫tics
An脿lisi num猫rica
Title: A comparative study of genetic algorithms for the multi-objective optimization of composite stringers under compression loads
Type: info:eu-repo/semantics/article
Repository: Recercat

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