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Synthesis of Mechanical Structures Using a Genetic Algorithm

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Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3044))

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Abstract

This paper proposes a representation for the embodiment design and a genetic algorithm suited for the representation. Since embodiment design consists of highly interrelated design processes, how to formalize and integrate the processes has become an important issue. In this paper, embodiment design is modeled as simultaneous multi-objective optimization of parametric designs for parts and of layout generation for structures. The study, thus, involves genotypes that are adequate to represent phenotypes of the models for the genetic algorithm to solve the given problems. We demonstrate the implementation of the genetic algorithm with the result applied to the gear equipment design.

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References

  1. Yokoyama, M., Endo, T., Cha, J.H.: Knowledge-based CAD. Corona publishing co. (1997)

    Google Scholar 

  2. Pahl, G., Beitz, W.: Engineering Design. The Design Council (1984)

    Google Scholar 

  3. Obayashi, S., Sasaki, D., Takeguchi, Y., Hirose, N.: Multiobjective evolutionary computation for supersonic wing-shape optimization. IEEE Trans. on evolutionary computation 4(2), 182–187 (2000)

    Article  Google Scholar 

  4. Gero, J.S., Kazakov, V.A.: Evolving building blocks for design using genetic algorithm. In: Advances in Formal Design method for CAD - Proceedings of IFIP1995, pp. 31–50 (1995)

    Google Scholar 

  5. Coyne, R.D., Rosenman, M.A., Radford, A.D., Balachandran, M., Gero, J.S.: Knowledge based design systems. Addison-Wesley publishing co., Reading (1990)

    Google Scholar 

  6. Cha, J.H., Lee, I.H., Kim, J.J.: Computer-aided innovative mechanical design framework. In: Proceedings of FAN Symposium 2000, Tokyo, pp. 405–410 (2000)

    Google Scholar 

  7. Bentley, P.J.: Genetic evolutionary design of solid objects using a genetic algorithm, Ph.D. thesis, the university of Huddersfield (1996)

    Google Scholar 

  8. Whitley, D., Rana, S., Dzubera, J., Mathias, K.E.: Evaluating evolutionary algorithms. Artificial intelligence 85, 245–276 (1996)

    Article  Google Scholar 

  9. Dudley, D.W.: Handbook of Practical Gear Design. McGraw-Hill Book Company, New York (1984)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, IH., Cha, JH., Kim, JJ., Park, M.W. (2004). Synthesis of Mechanical Structures Using a Genetic Algorithm. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_61

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  • DOI: https://doi.org/10.1007/978-3-540-24709-8_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22056-5

  • Online ISBN: 978-3-540-24709-8

  • eBook Packages: Springer Book Archive

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