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Research on Task Allocation Model of Takeaway Platform Based on RWS-ACO Optimization Algorithm

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Business Intelligence and Information Technology (BIIT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 107))

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Abstract

This paper research the task distribution of the takeaway platform, builds a task distribution model for the takeaway platform, and proposes the roulette ant colony algorithm (RWS-ACO) that combines the roulette algorithm with the ant colony algorithm, then conducts simulation experiments to solve the simulation data. The distribution plan is obtained, which verifies the effectiveness of the model and algorithm and achieves a win-win situation for multiple parties in the distribution.

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Acknowledgment

This work is partly supported by the project supported by the National Social Science Foundation(16BJY125), Heilongjiang philosophy and social sciences research planning project(19JYB026), Key topics in 2020 of the 13th five year plan of Educa-tional Science in Heilongjiang Province(GJB1320276), Project supported by under-graduate teaching leading talent training program of Harbin University of Commerce (201907), Key project of teaching reform and teaching research of Harbin University of Commerce in 2020(HSDJY202005(Z)), Innovation and entrepreneurship project for college students of Harbin University of Commerce (202010240059), School level scientific research project of Heilongjiang Oriental University (HDFKY200202), Key entrusted projects of higher education teaching reform in 2020(SJGZ20200138).

Author information

Authors and Affiliations

  1. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China

    Li Jianjun, Xu Xiaodi & Yang Yu

  2. Heilongjiang Cultural Big Data Theory Application Research Center, Harbin, 150028, China

    Li Jianjun, Xu Xiaodi & Yang Yu

  3. Heilongjiang Key Laboratory of E-Commerce and Information Processing, Harbin, 150028, China

    Li Jianjun & Xu Xiaodi

  4. East University of Heilongjiang, Harbin, 150066, China

    Yang Fang

Authors
  1. Li Jianjun
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  2. Xu Xiaodi
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  3. Yang Yu
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  4. Yang Fang
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Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Yaoqun Xu

  3. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhijie Zhao

  4. Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

    Sabah Mohammed

  5. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhipeng Fan

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Jianjun, L., Xiaodi, X., Yu, Y., Fang, Y. (2022). Research on Task Allocation Model of Takeaway Platform Based on RWS-ACO Optimization Algorithm. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_74

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