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Research on Warehouse Scheduling Optimization Problem for Broiler Breeding

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 763))

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Abstract

Feeding on time, which is a key factor for the healthy growth of broilers. To minimize the feeding delay, a mathematical model considering the time spent on transferring feed is proposed. To solve the model above, a fruit fly algorithm (FFA) is adopted. Considering its disadvantages of trapping into local optima and low convergence accuracy, mutation operator and adaptive step-length is imposed to form an improved fruit fly algorithm (IFFA), which not only enhanced the convergence efficiency, but also ensured the global optimization. Finally, to verify the performance of the proposed algorithm, it is compared with FFA and genetic algorithm (GA). Simulation results prove that the feasibility and superiority of the proposed algorithm.

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Acknowledgments

This work is supported by the scientific and technological project of Henan province under Grant No. 172102110031, and by the high-tech people project of Henan institute of science and technology under Grant No. 203010616001.

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Authors and Affiliations

  1. Henan Institute of Science and Technology, Xinxiang, China

    Wenqiang Yang & Yongfeng Li

Authors
  1. Wenqiang Yang
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  2. Yongfeng Li
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Corresponding author

Correspondence to Wenqiang Yang .

Editor information

Editors and Affiliations

  1. Queen’s University Belfast, Belfast, United Kingdom

    Kang Li

  2. Nanjing Automation Research Institute, Nanjing, China

    Yusheng Xue

  3. Harbin Institute of Technology, Harbin, China

    Shumei Cui

  4. Shanghai University, Shanghai, China

    Qun Niu

  5. Queen’s University Belfast, Belfast, United Kingdom

    Zhile Yang

  6. Cranfield University, Bedford, United Kingdom

    Patrick Luk

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© 2017 Springer Nature Singapore Pte Ltd.

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Yang, W., Li, Y. (2017). Research on Warehouse Scheduling Optimization Problem for Broiler Breeding. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_24

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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