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Robot Path Planning Based on Random Expansion of Ant Colony Optimization

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

Abstract

Aimed at the shortcomings of the ant colony algorithm in robot path planning, which need much time and easy to fall in premature stagnation. This paper proposes a random expansion ant colony optimization algorithm through giving a possible way in the initial pheromone distribution to narrow the searching range of algorithm and raise the searching speed. At the same time random expansion factor is introduced to ant colony optimization algorithm, improved the diversity of routes and global optimization properties. The simulations result shows that the algorithm has excellent global optimization property and fast convergence speed.

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Author information

Authors and Affiliations

  1. School of Physics and Electronics, Henan University, Kaifeng, China

    Jinke Bai, Lijia Chen, He Jin, Ruixia Chen & Haitao Mao

Authors
  1. Jinke Bai
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  2. Lijia Chen
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  3. He Jin
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  4. Ruixia Chen
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  5. Haitao Mao
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Bai, J., Chen, L., Jin, H., Chen, R., Mao, H. (2012). Robot Path Planning Based on Random Expansion of Ant Colony Optimization. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_21

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  • DOI: https://doi.org/10.1007/978-3-642-25789-6_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

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