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Bio-Inspired Computing - Theories and Applications pp 304–307Cite as

Firefly Algorithm Solving Equal-Task Multiple Traveling Salesman Problem

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 472))

Abstract

A kind of equal-task multiple traveling salesman problem (ET-mTSP) was proposed based on the mTSP and its corresponding mathematical model was constructed; Then, a series of discrete operations for firefly algorithm (FA) were conducted to solve this problem; Finally, the results and analysis of experiments showed that the improved algorithm was efficient and suitable for solving such ET-mTSP.

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References

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Xiangtan University, Xiangtan, China

    Jianhua Ma, Mingfu Li, Yuyan Zhang & Houming Zhou

  2. Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan, China

    Mingfu Li

Authors
  1. Jianhua Ma
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  2. Mingfu Li
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  3. Yuyan Zhang
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  4. Houming Zhou
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Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, 430074, Wuhan, China

    Linqiang Pan

  2. Institute of Mathematics of the Romanian Academy, 014700, Bucuresti, Romania

    Gheorghe Păun

  3. Department of Computer Science and Artificial Intelligence, University of Sevilla, Avda. Reina Mercedes s/n., 41012, Sevilla, Spain

    Mario J. Pérez-Jiménez

  4. School of Automation, Huazhong University of Science and Technology, 430074, Wuhan, China

    Tao Song

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ma, J., Li, M., Zhang, Y., Zhou, H. (2014). Firefly Algorithm Solving Equal-Task Multiple Traveling Salesman Problem. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_49

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  • DOI: https://doi.org/10.1007/978-3-662-45049-9_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45048-2

  • Online ISBN: 978-3-662-45049-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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