Optimal Allocation of Regional Defense Resources Based on POS Optimization Algorithm

Hongliang Ni, Longlong Hou, B. Hou, Xudong Zhao, Zhilong Chen
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Abstract

China’s water resources are becoming increasingly tense. In order to support the sustainable development of limited water resources, it is necessary to improve the research on water resource allocation. Based on the domestic and foreign research on the optimal allocation of agricultural water resources, combined with the actual needs of the city, the optimal POS algorithm is used to optimize the allocation of urban water resources, and an optimal water resource allocation model is created. This paper describes the optimal POS algorithm, and on this basis, the optimal POS algorithm is applied to the characteristics and complexity of optimal water resources decision-making. In this paper, the POS optimization algorithm is used to solve the problem. Obtain the results of urban water resource allocation with different guarantee rates in 2024 and 2030, conduct rational analysis in combination with the future water supply situation, and give corresponding suggestions. Experimental research shows that by 2027, the city’s industrial water recycling rate will increase from 34% to over 60%. By 2030, the city’s industrial water recycling rate will increase to over 82%.
基于POS优化算法的区域防务资源优化配置
中国的水资源正变得越来越紧张。为了支持有限水资源的可持续发展,有必要加强水资源配置研究。在国内外农业水资源优化配置研究的基础上,结合城市实际需求,采用最优POS算法对城市水资源进行优化配置,建立了最优水资源配置模型。本文介绍了最优POS算法,并在此基础上,将最优POS算法应用于水资源最优决策的特点和复杂性。本文采用POS优化算法来解决这一问题。获得2024年和2030年不同保证率下的城市水资源配置结果,结合未来供水情况进行理性分析,并给出相应建议。实验研究表明,到2027年,全市工业水循环利用率将从34%提高到60%以上。到2030年,全市工业水循环利用率将提高到82%以上。
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