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Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling

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Internet and Distributed Computing Systems (IDCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11226))

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Abstract

Swarm intelligence algorithm (SIA) is an important artificial intelligence technology, which has been widely applied in various research fields. Recently, adopting various multi-objective SIAs (MOSIAs) to solve multi-objective flow shop scheduling problem (MOFSP) has attracted wide research attention. However, there are fewer review papers on the MOFSP. Many new MOSIAs have been proposed to solve MOFSP in the last decade. Therefore, in this study, MOSIAs of MOFSP over the past decade are briefly reviewed and analyzed. Based on the existing problems and new trend of Industry 4.0, several new promising future research directions are pointed out. These research directions are: (1) new hybrid MOSIA; (2) MOSIA with high computational efficiency; (3) MOSIA based on machine learning and big data; (4) multi-objective approach; (5) many-objective flowshop scheduling.

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Acknowledgement

This paper is supported by the National Natural Science Foundation of China (61571336 and 71874132).

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Authors and Affiliations

  1. School of Logistics Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China

    Lijun He, Wenfeng Li, Yu Zhang & Jingjing Cao

Authors
  1. Lijun He
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  2. Wenfeng Li
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  3. Yu Zhang
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  4. Jingjing Cao
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Corresponding author

Correspondence to Wenfeng Li .

Editor information

Editors and Affiliations

  1. Swinburne University of Technology, Hawthorn, VIC, Australia

    Yang Xiang

  2. National Institute of Informatics, Tokyo, Japan

    Jingtao Sun

  3. University of Calabria, Rende (CS), Italy

    Giancarlo Fortino

  4. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  5. Chung-Ang University, Seoul, Korea (Republic of)

    Jason J. Jung

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He, L., Li, W., Zhang, Y., Cao, J. (2018). Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling. In: Xiang, Y., Sun, J., Fortino, G., Guerrieri, A., Jung, J. (eds) Internet and Distributed Computing Systems. IDCS 2018. Lecture Notes in Computer Science(), vol 11226. Springer, Cham. https://doi.org/10.1007/978-3-030-02738-4_22

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  • DOI: https://doi.org/10.1007/978-3-030-02738-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02737-7

  • Online ISBN: 978-3-030-02738-4

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