| HAL : hal-00449605, version 1 |
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| 7th World Congress on Structural and Multidisciplinary Optimization, Seoul : Korea, Republic of (2007) |
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| Multidisciplinary and multiobjective optimization: Comparison of several methods |
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| Philippe Dépincé 1Benoît Guédas 1 |
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| (21/05/2007) |
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| Engineering design of complex systems is a decision making process that aims at choosing from among a set of options that implies an irrevocable allocation of resources. It is inherently a multidisciplinary and multi-objective process. The paper describes some classical multidisciplinary optimization (MDO) methods with their advantages and drawbacks. Some new approaches combining genetic algorithms (MOGA) and collaborative optimization (CO) are presented. They allow to: 1) increase the convergence rate when a design problem can be broken up regarding design variables, and 2) provide an optimal set of design variables in case of multi-level multi-objective design problem. |
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| 1 : | Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN) |
| CNRS : UMR6597 – Université de Nantes – École Centrale de Nantes – Ecole des Mines de Nantes – Ecole Polytechnique de l'Université de Nantes | |
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| Méthode de Conception Mécanique (MCM) |
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| Domaine | : | Sciences de l'ingénieur/Autre |
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| Multidisciplinary Design Optimization – Bi-Level Collaborative Optimization – Genetic Algorithm – Pareto Frontier |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00449605, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00449605 | |
| oai:hal.archives-ouvertes.fr:hal-00449605 | |
| Contributeur : Benoît Guédas | |
| Soumis le : Vendredi 22 Janvier 2010, 11:06:10 | |
| Dernière modification le : Jeudi 18 Mars 2010, 11:28:23 | |