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

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

Authors
Zhe Chen1, Yingjie Li1, Zeqi Zhang1, *
1Shenzhen Power Supply Bureau Co, Ltd, Shenzhen, 518000, Guangdong, China
*Corresponding author. Email: 18576617356@163.com
Corresponding Author
Zeqi Zhang
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_58How to use a DOI?
Keywords
Ant colony algorithm; Plan; Eco industrial park; Construction; Model
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_58
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_58How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhe Chen
AU  - Yingjie Li
AU  - Zeqi Zhang
PY  - 2023
DA  - 2023/10/09
TI  - Construction of Eco Industrial Park Planning Model Based on Ant Colony Algorithm
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 559
EP  - 570
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_58
DO  - 10.2991/978-94-6463-256-9_58
ID  - Chen2023
ER  -