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The Research of a New Geometric Constraint Solver

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Perspectives from Europe and Asia on Engineering Design and Manufacture

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Abstract

GQA combines genetic algorithm with quantum computing. Instead of binary, numeric or symbolic representation, we introduce qubit chromosome representation. GQA is used in the process of geometric constraint solving in order to get the solution sequence. The proposed algorithm is offered in a quantum spirit, to allow analogue quantum computers to solve global optimization problems. GQA can solve problems in polynomial time instead of the exponential time required by classical algorithm. The experiment indicates that GQA is good for the fast solving for general geometric constraint problem.

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Author information

Authors and Affiliations

  1. College of computer science and technology, Jilin University, Changchun, 130012, P.R.China

    Chunhong Cao & Wenhui Li

  2. computing center Zhangzhou Teachers College, Zhangzhou, 363000, P.R.China

    Wei Fu

Authors
  1. Chunhong Cao
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  2. Wei Fu
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  3. Wenhui Li
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Editor information

Editors and Affiliations

  1. Department of Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, Scotland, UK

    Xiu-Tian Yan

  2. Northwestern Polytechnical University, China

    Cheng-Yu Jiang

  3. University of Strathclyde, Glasgow, Scotland, UK

    Neal P. Juster

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© 2004 Springer Science+Business Media New York

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Cao, C., Fu, W., Li, W. (2004). The Research of a New Geometric Constraint Solver. In: Yan, XT., Jiang, CY., Juster, N.P. (eds) Perspectives from Europe and Asia on Engineering Design and Manufacture. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2212-8_20

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  • DOI: https://doi.org/10.1007/978-1-4020-2212-8_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-015-7003-9

  • Online ISBN: 978-1-4020-2212-8

  • eBook Packages: Springer Book Archive

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