The increasing economic competition of all industrial markets and growing complexity of engineering problems lead to a progressive specialization and distribution of expertise, tools and works. On the other hand, engineering products becomes more and more complex and the designer has to face with an increase design variables and design objectives. Besides multi-objective optimization (MOO) and multi-disciplinary design optimization (MDO) are more commonly used as methods to provide optimal solutions for complex design problems. The paper describes an innovative mixing between genetic algorithms (MOGA) and collaborative optimization (CO) as a tool 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 design problem. This method gives multidisciplinary optimization the advantages AG has brought to multi-objective optimization. The method, tested on test functions, assures high optimization results containing CPU times.
Skip Nav Destination
Close
Sign In or Register for Account
ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 24–28, 2005
Long Beach, California, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4742-X
PROCEEDINGS PAPER
Collaborative Optimization Strategy for Multi-Objective Design
Philippe De´pince´,
Philippe De´pince´
Ecole Centrale de Nantes, Nantes, France
Search for other works by this author on:
Se´bastien Rabeau,
Se´bastien Rabeau
Ecole Centrale de Nantes, Nantes, France
Search for other works by this author on:
Fouad Bennis
Fouad Bennis
Ecole Centrale de Nantes, Nantes, France
Search for other works by this author on:
Philippe De´pince´
Ecole Centrale de Nantes, Nantes, France
Se´bastien Rabeau
Ecole Centrale de Nantes, Nantes, France
Fouad Bennis
Ecole Centrale de Nantes, Nantes, France
Paper No:
DETC2005-85054, pp. 197-205; 9 pages
Published Online:
June 11, 2008
Citation
De´pince´, P, Rabeau, S, & Bennis, F. "Collaborative Optimization Strategy for Multi-Objective Design." Proceedings of the ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 5a: 17th International Conference on Design Theory and Methodology. Long Beach, California, USA. September 24–28, 2005. pp. 197-205. ASME. https://doi.org/10.1115/DETC2005-85054
Download citation file:
- Ris (Zotero)
- Reference Manager
- EasyBib
- Bookends
- Mendeley
- Papers
- EndNote
- RefWorks
- BibTex
- ProCite
- Medlars
Close
Sign In
4
Views
0
Citations
Related Proceedings Papers
Related Articles
Design For Existing Lines: Part and Process Plan Optimization to Best Utilize Existing Production Lines
J. Comput. Inf. Sci. Eng (June,2007)
Cost and Entropy Generation Minimization of a Cross-Flow Plate Fin Heat Exchanger Using Multi-Objective Genetic Algorithm
J. Heat Transfer (February,2011)
Related Chapters
A Collaborative Framework for Distributed Multiobjective Combinatorial Optimization
International Conference on Computer and Computer Intelligence (ICCCI 2011)
A Learning-Based Adaptive Routing for QoS-Aware Data Collection in Fixed Sensor Networks with Mobile Sinks
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Research on Production-Distribution Collaborative Planning for Distributed Decision Environment
International Conference on Measurement and Control Engineering 2nd (ICMCE 2011)