A study of convergence and mapping in multiobjective optimization problems

Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC2005

Volumn 3 A, Issue , 2005, Pages 273-283

  Ferguson, Scott ^a   Gurnani, Ashwin ^a   Donndelinger, Joseph ^b   Lewis, Kemper ^a  

^a State University of New York   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; MACHINE DESIGN; MATHEMATICAL MODELS; OPTIMIZATION; PARETO PRINCIPLE; SPECIFICATIONS;

DESIGN SPACE; MULTIOBJECTIVE GENETIC ALGORITHM (MOGA); MULTIOBJECTIVE OPTIMIZATION PROBLEMS; TECHNICAL FEASIBILITY MODEL (TFM);

PROBLEM SOLVING;

EID: 33144462360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/detc2005-84852     Document Type: Conference Paper

References (15)

1. Lewis, K., Ferguson, S., Gurnani, A., and Donndelinger, J., 2005, "An Approach to Feasibility Assessment in Preliminary Design", Submitted to the Proceedings of IDETC, Long Beach California.
2. Eschenauer, C. M., Koski, J., and Osyczka, A., 1990, Multicriteria Design Optimization, Springer-Verlag, New York.
3. Pareto, V., 1906, Manuale di Econamica Polittica, Società Editrice Libràia, Milan, Italy;
4. translated into English by A. S. Schwier, as Manual of Political Economy, Macmillan, New York, 1971.
5. Eddy, J. and Lewis, K., 2001, "Effective Generation of Pareto Sets Using Genetic Programming", ASME Design Technical Conferences, Design Automation Conference, DETC2001/DAC-21093.
6. Fenyes, P. A., Donndelinger, J. A., and Bourassa, J.-F., 2002, "A New System For Multidisciplinary Design and Optimization of Vehicle Architectures", 9 AIAA Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, AIAA-2002-5509.
7. thAIAA Symposium on Multidisciplinary Analysis and Optimization, Albany NY, AIAA-2004-4315.
8. Wu, J., and Azarm, S., "Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set", Journal of Mechanical Design, 123(1), pp. 18-25.
9. th International Conference: Parallel Problem Solving from Nature - PPSNV, Amsterdam, The Netherlands, Springer, pp. 292-302.
10. Deb, K., and Jain, S., 2002, "Running Performance Metrics for Evolutionary Multiobjective Optimization", KanGAL Report No. 2002004, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur, India.
11. Van Veldhuizen, D. A., 1999, "Multiobjective Evolutionary Algorithm: Classifications, Analyses, and New Innovations", Ph. D. Dissertation, Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio.
12. Kasprzak, E. and Lewis, K., 2001, "Pareto Analysis in Multiobjective Optimization Using the Colinearity Theorem and Scaling Method", Structural and Multidisciplinary Optimization, 22(3), pp. 208-218.
13. Eddy, J. and Lewis, K., 2002, "Visualization of Multi-Dimensional Design and Optimization Data Using Cloud Visualization", ASME Design Technical Conferences, Design Automation Conference, DETC02/DAC-34130.
14. Lee, Yuejun E., and Black, Derrick R., 2004, "Improved RFQ Process by Optimization Technique", SAE Motorsports Engineering Conference & Exposition, Dearborn, MI, 2004-01-1155.
15. th AIAA Symposium on Multi-disciplinary Analysis and Optimization, Albany NY, AIAA-2004-4309.