• Multi-objective optimization o...

Treffer: Multi-objective optimization of a composite material spring design using an evolutionary algorithm

Title:
Multi-objective optimization of a composite material spring design using an evolutionary algorithm
Authors:
RATLE, Frédéric, LECARPENTIER, Benoit, LABIB, Richard, TROCHU, Francois
Source:
PPSN VIII : parallel problem solving from nature (Birmingham, 18-22 September 2004)Lecture notes in computer science. :803-811
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Biomimétique, Biomimetics, Estimation erreur, Error estimation, Estimación error, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Krigeage, Kriging, Maximisation, Maximization, Maximización, Minimisation, Minimization, Minimización, Modélisation, Modeling, Modelización, Méthode domaine temps, Time domain method, Método dominio tiempo, Optimisation, Optimization, Optimización, Optimum Pareto, Pareto optimum, Optimo Pareto, Parallélisme, Parallelism, Paralelismo, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Résolution problème, Problem solving, Resolución problema, Système multiagent, Multiagent system, Sistema multiagente, Temps calcul, Computation time, Tiempo computación
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Centre de Recherche Appliquée Sur les Polymères, Département de Génie Mécanique, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec, H3C 3A7, Canada
Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montréal, Québec, H3C 3A7, Canada
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16176917
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16176917
Database:
PASCAL Archive

Weitere Informationen

A multi-objective evolutionary algorithm is applied to optimize the design of a helical spring made out of a composite material. The criteria considered are the minimization of the mass along with the maximization of the stiffness of the spring. Considering the computation time required for finite element analyses, the optimization is performed using approximate relations between design parameters. Dual kriging interpolation allows improving the accuracy of the classical model of spring stiffness by estimating the error between the model and the results of finite element analyses. This error is taken into account by adding a correction function to the stiffness function. The NSGA-II algorithm is applied and shows satisfactory results, while using the correction function induces a displacement of the Pareto front.