Dynamic programming method of sustainable land use based on multi-objective genetic algorithm

被引：0
|
作者：
Zhou, Wuyi [1 ]
机构：
[1] ChangChun Univ Architecture & Civil Engn, Sch Publ Art, Changchun 130000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT | 2024年 / 27卷 / 4-6期
关键词：
multi-objective genetic algorithm; land use; dynamic programming; population discrete model; grey objective; objective function;
D O I：
10.1504/IJETM.2024.139985
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The traditional dynamic programming method of sustainable land use has some problems, such as low ecological benefit coefficient and large error in calculating the economic value of planning results. Therefore, a dynamic programming method of sustainable land use based on multi-objective genetic algorithm is proposed. Firstly, the population discrete model is used to deeply predict the per capita land use demand and determine the multi-objective object of dynamic programming. Secondly, using the grey objective programming method, the planning objective functions are mainly determined to maximise economic benefits, environmental benefits, ecological benefits, and social benefits. Finally, the multi-objective genetic algorithm is used to solve the objective function, and the results are used for dynamic programming of sustainable land use. The experimental results show that the ecological benefit coefficient after the proposed method of sustainable land dynamic programming is close to 1, and the error of economic value calculation is reduced.
引用
收藏
页码：356 / 369
页数：15
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