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Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm

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Intelligent Data Engineering and Automated Learning – IDEAL 2013 (IDEAL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8206))

Abstract

This paper proposes a multi-objective memetic algorithm (MOMA) for global path planning of wheeled robots. Particularly, MOMA is designed to simultaneously optimize the path length and smoothness. MOMA is featured with novel path encoding scheme, path rectification, and specific evolutionary operators. The experimental results on simulated maps show that MOMA is efficient in planning a set of valid trade-off paths in complex environments.

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Author information

Authors and Affiliations

  1. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China

    Fangxiao Wang & Zexuan Zhu

Authors
  1. Fangxiao Wang
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  2. Zexuan Zhu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  2. University of Science and Technology of China, Hefei, China

    Ke Tang

  3. Nanjing University, Nanjing, China

    Yang Gao

  4. Ostfalia University of Applied Sciences, 38302, Wolfenbüttel, Germany

    Frank Klawonn

  5. Kyungpook National University, 702-701, Buk-Gu, Daegu, Korea

    Minho Lee

  6. Nature Inspired Computational and Applications Laboratory, School of Computer Science and Technology,, University of Science and Technology of China, 230027, Hefei, China

    Thomas Weise

  7. University of Science and Technology of China, 230017, Hefei, China

    Bin Li

  8. CERCIA, School of Computer Science, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK

    Xin Yao

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, F., Zhu, Z. (2013). Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2013. IDEAL 2013. Lecture Notes in Computer Science, vol 8206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41278-3_53

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  • DOI: https://doi.org/10.1007/978-3-642-41278-3_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41277-6

  • Online ISBN: 978-3-642-41278-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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