Abstract
An artificial satellite design requires severe design objectives such as performance, reliability, weight, robustness, cost, and so on. To solve the conflicted requirements at the same time, multiobjective optimization is getting more popular in the design. Using the optimization, it becomes ordinary to get many solutions, such as Pareto solutions, quasi-Pareto solutions, and feasible solutions. The alternative solutions, however, are very difficult to be adopted to practical engineering decision directly. Therefore, to make the decision, proper information about the solutions in a function, parameter and real design space should be provided. In this paper, a new approach for the interpretation of Pareto solutions is proposed based on multidimensional visualization and clustering. The proposed method is applied to a thermal robustness and mass optimization problem of heat pipe shape design for an artificial satellite. The information gleaned from the propose approach can support the engineering decision for the design of artificial satellite heat pipe.
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References
Tappeta, R.V., Renaud, J.E.: Iterative multiobjective optimization procedure. AIAA Journal 37(7), 881–889 (1999)
Tappeta, R.V., Renaud, J.E.: Iterative multiobjective optimization design strategy for decision based design. Journal of Mechanical Design 123, 205–215 (2001)
Meng, Z., Pao, Y.H.: Visualization and selforganization of multidimensional data through equalized orthogonal mapping. IEEE Transactions on Neural Networks 11(4), 1031–1038 (2000)
Miller, W.: Symmetry Groups and Their Applications. Academic Press, London (1972)
Weyl, H.: Symmetry. Princeton University Press, Princeton (1952)
Kobayashi, T., Nomura, T., Kamifuji, M., Yao, A., Ogushi, T.: Thermal robustness and mass optimization of heat pipe shape for spacecraft panel using a combination of responce surface methodology and monte carlo simulation. In: Proceedings of 28th Design Automation Conference, DETC2002/DAC-34055 (2002)
Kelly, W.H., Reisenweber, J.H.: Thermal performance of embedded heat pipe spacecraft radiator panels. SAE Technical Paper, 932158 (1993)
Taguchi, G.: Design of Experiment. Japanese Standards Association (1979) (in Japanese)
Taguchi, G., Konishi, S.: Orthogonal Arrays and Linear Graphs. ASI press, Dearborn (1987)
Myers, R.H., Montegomery, D.C.: Responce Surface Methodology: Process and Product Optimization Using Design Experiments. Wiley Inter-Science, Chichester (1995)
Kashiwamura, T., Shiratori, M.: Structural optimization using the design of experiments and mathematical programming. Transactions of the JSME 62(601), 208–223 (1996) (in Japanese)
Jeong, M.J., Yoshimura, S.: An evolutionary clustering approach to pareto solutions in multiobjective optimization. In: Proceedings of 28th Design Automation Conference, DETC2002/DAC-34048 (2002)
Jeong, M.J.: Integrated Support System for Decision-Making in Design Optimization. PhD Thesis, The University of Tokyo (2003)
Chen, J.X.: Data visualization: Parallel coordinates and dimension reduction. Computing in Science and Engineering 3(5), 110–113 (2001)
Inselberg, A.: Visulaiztion and data mining of highdimensional data. Chemometrics and Intelligent Laboratory Systems 60, 147–159 (2002)
Kawai, H.: Development of a 3-d graphics and gui tookit for making pre- and post-processing tools. In: Proceedings of the Conference on Computational Engineering and Science, vol. 8(2), pp. 889–892 (2003)
Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1989)
Su, M., Chou, C.: A modified version of the k-means algorithm with a distance based on cluster symmety. IEEE Trans. on Pattern Analysis and Machine Intelligence 23(6), 674–680 (2001)
Mirkin, B.: Mathematical Classification and Clustering. Kluwer Academic Publishers, New York (1996)
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Jeong, M.J., Kobayashi, T., Yoshimura, S. (2005). Extraction of Design Characteristics of Multiobjective Optimization – Its Application to Design of Artificial Satellite Heat Pipe. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds) Evolutionary Multi-Criterion Optimization. EMO 2005. Lecture Notes in Computer Science, vol 3410. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31880-4_39
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DOI: https://doi.org/10.1007/978-3-540-31880-4_39
Publisher Name: Springer, Berlin, Heidelberg
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