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Three-Dimensional Multi-Pipe Route Optimization Based on Genetic Algorithms

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Part of the book series:IFIP International Federation for Information Processing ((IFIPAICT,volume 207))

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Abstract

To optimize the design of three-dimensional multi-pipe, multi-constraint and multi-objective path planning, an approach based on Genetic Algorithms (GA) is presented in this paper, which includes definition of genes to deal with pipe routes, definition and application of fitness functions, and definition of punishing function set by constraints. An example and good simulation results are also presented to show the validity of this approach.

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Author information

Authors and Affiliations

  1. College of Mechanicals Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Huanlong Wang, Cuilian Zhao & Xiaowei Feng

  2. Shanghai Turbine CO., LTD., Shanghai, 200240, China

    Weichun Yan

Authors
  1. Huanlong Wang

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  2. Cuilian Zhao

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  3. Weichun Yan

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  4. Xiaowei Feng

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Editor information

Editors and Affiliations

  1. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Norway

    Kesheng Wang

  2. Computer and Automation Institute and Technical University of Budapest, Hungary

    George L. Kovacs

  3. Rensselaer Polytechnic Institute, USA

    Michael Wozny

  4. Shanghai University, Chian

    Minglun Fang

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© 2006 International Federation for Information Processing

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Cite this paper

Wang, H., Zhao, C., Yan, W., Feng, X. (2006). Three-Dimensional Multi-Pipe Route Optimization Based on Genetic Algorithms. In: Wang, K., Kovacs, G.L., Wozny, M., Fang, M. (eds) Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management. PROLAMAT 2006. IFIP International Federation for Information Processing, vol 207. Springer, Boston, MA . https://doi.org/10.1007/0-387-34403-9_23

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