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Self Organizing Maps (SOM) for Design Selection in Multi-Objective Optimization using modeFRONTIER
Technical Paper
2008-01-0874
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Self Organizing Maps (SOM) has evolved as a very useful visualization and data analysis tool for high dimensional data. Visualization and analysis of Pareto data for multi-objective optimization problems with more than three objectives is also a challenge. This paper will investigate the application of SOM for visualization and design selection for multi-objective Pareto data. The SOM is applied to investigate the spread of Pareto front as well as to investigate trade-off between objectives. The visualization and selection strategy is applied to mathematical test problem to explain the concept. Later it is also applied to real world automotive design problem of engine optimization.
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Authors
Citation
Parashar, S., Fateh, N., Pediroda, V., and Poloni, C., "Self Organizing Maps (SOM) for Design Selection in Multi-Objective Optimization using modeFRONTIER," SAE Technical Paper 2008-01-0874, 2008, https://doi.org/10.4271/2008-01-0874.Also In
References
- Carreira-Perpinan, M. A. 1997 “A Review of Dimension Reduction Techniques,” Technical Report CS 96-09 Department of Computer Science, University of Scheffield
- Chernoff, H. 1973 “The Use of Faces to Represent Points in k-Dimensional Space Graphically,” Journal of American Statistical Association 68 361 368
- Agrawal, G. Lewis, K.E. Bloebaum, C.L. 2006 “Intuitive Visualization of Hyperspace Pareto Frontier,” 44th AIAA Aerospace Sciences Meeting & Exhibit Reno, NV AIAA-2006-0726
- Agrawal, G. 2005 “The Hyperspace Pareto Frontier for Intuitive Visualization of Multiobjective Optimization Problems,” State University of New York Buffalo
- Kohonen, T. 2001 Self Organizing Maps 3a Spinger
- Kohonen, T. 1982 Self-organized formation of topologically correct feature maps Biological Cybernetics 43 59 69
- Ojia, M. Kaski, S. Kohonen, T. 2002 Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001 Addendum Neural Computing Surveys 3 1 156