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Water Pollution Prevention and Control Project, 2022, 3(2); doi: 10.38007/WPPCP.2022.030204.

Strategic Development of Wastewater Treatment Enterprises Based on Ant Colony Algorithm

Author(s)

James Yong Liao

Corresponding Author:
James Yong Liao
Affiliation(s)

Philippine Christian University, Philippine

Abstract

With the continuous development of market economy, sewage treatment plants must implement financial strategic mechanism according to their specific needs. This paper studies the Ant Colony Optimization method in the financing strategy of sewage treatment plant, and expounds its application in financial decision-making. With the gradual increase of people's concern and attention to physical health, the requirements for drinking water quality have also increased accordingly. Therefore, the development and transformation of the water treatment industry in the future has a good development prospect. From the perspective of environmental protection, this paper makes a comprehensive analysis of the development status and future development direction of sewage treatment industry. In the daily operation and management of sewage treatment plants, they should strictly control their own profits, and the government should also play an administrative role. It is necessary to combine various social factors to form a perfect operation mechanism of government supervision, so as to achieve the goal of parallel supervision of liabilities and equity assets. By comparing the use of ant colony algorithm and general algorithm for the strategic development of wastewater treatment enterprises, this paper concludes that the efficiency of ant colony algorithm is 13.77% higher than that of general algorithm.

Keywords

Ant Colony, Strategic Development of Sewage Treatment Enterprises, Membership Analysis, Evaluation and Analysis of Water Pollution Control Effect

Cite This Paper

James Yong Liao. Strategic Development of Wastewater Treatment Enterprises Based on Ant Colony Algorithm. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 2: 32-40. https://doi.org/10.38007/WPPCP.2022.030204.

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