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A Discrete Biogeography-Based Optimization for Solving Tomato Planting Planning

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Intelligent Computing Theories and Application (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9772))

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Abstract

The yield of tomato affects the processing ability of ketchup factory directly. To improve the imbalance supply of the materials during tomato sauce season, building the mathematical model of tomato planting planning, a discrete Biogeography-based Optimization is proposed for solving tomato planting planning model. Considering the tomato planting planning is a large-scale combinatorial optimization problem, tomato planting matrix can be compressed by sparse matrix compression method to achieve compression of the solution space. And a new kind discrete BBO with a new coding way was used for planting planning. A tomato plant provides data in Xinjiang as an example of simulation calculation, the results showed that tomato planting planning scheme calculated by the proposed algorithm can realize the balance supplement of tomato materials effectively.

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Authors and Affiliations

  1. School of Electrical Engineering, Xinjiang University, Urumqi, 830047, China

    Hong-li Zhang & Cong Wang

Authors
  1. Hong-li Zhang
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  2. Cong Wang
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Corresponding author

Correspondence to Hong-li Zhang .

Editor information

Editors and Affiliations

  1. Tongji University , Shanghai, China

    De-Shuang Huang

  2. University of Ulsan , Ulsan, Korea (Republic of)

    Kang-Hyun Jo

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© 2016 Springer International Publishing Switzerland

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Zhang, Hl., Wang, C. (2016). A Discrete Biogeography-Based Optimization for Solving Tomato Planting Planning. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_68

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  • DOI: https://doi.org/10.1007/978-3-319-42294-7_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42293-0

  • Online ISBN: 978-3-319-42294-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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