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Identification of the CMM Parametric Errors by Hierarchical Genetic Strategy

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IUTAM Symposium on Evolutionary Methods in Mechanics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 117))

Abstract

Hierarchical Genetic Strategy (HGS) is an e ective method of global optimization. It performs hierarchical decomposition of admissible domain and utilizes binary strings of di erent length.We use HGS to solve the problem of identification of the geometrical errors of Coordinate Measuring Machine (CMM). The results of simple numerical experiments will be reported.

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References

  1. Bosch J.A.(1995): Coordinate Measuring Machines And Systems, Marcel Dekker, Inc. New York.

    Google Scholar 

  2. Kolodziej J.(2002): Modeling Hierarchical Genetic Strategy as a Family of Markov Chains, In R. Wyrzykowski, J. Dongarra, M. Paprzycki & J. Waśsniewski (eds.), Parallel Processing and Applied Mathematics, LNCS, vol. 2328, 595–599, Heidelberg: Springer Vlg.

    Google Scholar 

  3. Kolodziej J.(2002): Modeling Hierarchical Genetic Strategy as a Lindenmayer System, Proc. of International Conference on Parallel Computing in Electrical Engineering PARELEC’2002, Warsaw, IEEE Computer Society, 409–415, Los Alamitos, CA.

    Google Scholar 

  4. Kolodziej J., Gwizdala R., Wojtusiak J. (2001): Hierarchical Genetic Strategy As A Method Of Improving Search E ciency. In R. Schaefer and R. Sęedziwy (eds.), Advances in Multi-Agent Systems, Chapter 9, 149–161, Cracow: UJ Press.

    Google Scholar 

  5. Kuntzmann H., Trapet E, Waeldele F (1990): A Uniform Concept for Calibration, Acceptance Testand Periodic Inspection of Coordinate Measuring Machines Using Reference Objects. Annals of the CIRP, vol. 39/1/1990.

    Google Scholar 

  6. Schaefer R., Kolodziej J. (2002): Genetic search Reinforced by The Population Hierarchy, Proc. of FOGA VII, A Workshop on Theoretical Aspects of Evolutionary Computation, Torremolinos, Spain, September 4–6, 2002, Morgan Kaufmann, San Francisco CA.

    Google Scholar 

  7. Schaefer R., Kolodziej J., Gwizdala R., Wojtusiak J. (2000): How Simpletons Can Increase Community Development-an Attempt to Hierarchical Genetic Computation, Proc. of the 4-th Polish Conference on Evolutionary Algorithms, Ląadek Zdróoj, 2000.06.05-08, pp.187–199.

    Google Scholar 

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© 2004 Kluwer Academic Publishers

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Kołodziej, J., Jakubiec, W., Starczak, M., Schaefer, R. (2004). Identification of the CMM Parametric Errors by Hierarchical Genetic Strategy. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_18

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  • DOI: https://doi.org/10.1007/1-4020-2267-0_18

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2266-1

  • Online ISBN: 978-1-4020-2267-8

  • eBook Packages: Springer Book Archive

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