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Construction of Eco Industrial Park Planning Model Based on Ant Colony Algorithm

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Zhe Chen

    (Shenzhen Power Supply Bureau Co, Ltd)

  • Yingjie Li

    (Shenzhen Power Supply Bureau Co, Ltd)

  • Zeqi Zhang

    (Shenzhen Power Supply Bureau Co, Ltd)

Abstract

Conventional eco industrial park planning mostly adopts methods and principles, with strong limitations, lack of comprehensive consideration of the industrial chain of the park, and poor planning effect, resulting in a high carrying rate of the eco industrial park ecosystem. Based on this, the ant colony algorithm is introduced, and the research on the construction of ecological industrial park planning model based on ant colony algorithm is proposed. First, select key industries in the park and establish the industrial chain of eco industrial park. Secondly, the ant colony algorithm is used to build a mathematical model of eco industrial park planning and determine two multi-objective indicators for eco industrial park planning. On this basis, a menu style planning and design framework is established from the three perspectives of park architecture, road traffic and ecological landscape to plan and design the ecological industrial park in an all-round way. The experimental analysis results show that after the application of the proposed planning model, the carrying rate of the park ecosystem is low, and the coordination degree between the carrying capacity of the ecosystem and the carrying capacity is high, which can promote the sustainable construction and development of the industrial ecological park.

Suggested Citation

  • Zhe Chen & Yingjie Li & Zeqi Zhang, 2024. "Construction of Eco Industrial Park Planning Model Based on Ant Colony Algorithm," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 559-570, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_58
    DOI: 10.2991/978-94-6463-256-9_58
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