Research on new food supply system based on optimization system
DOI: 10.23977/jeis.2021.61006 | Downloads: 3 | Views: 644
Zhuangzhuang Li 1
1 Anhui University of Technology, Anhui, 243031
Corresponding AuthorZhuangzhuang Li
Although the global food system has been tempered for many years, but recent events have shown us that our global food system is unstable even in the parts of the world that it generally serves well. So, researching out a better food system has great significance to humanity. First of all, this article collects various data on agricultural production in countries around the world, according to the data type, the food system is divided into four first-level indicators, using the comprehensive model of entropy weight method and analytic hierarchy process to establish evaluation models. Secondly, the article establishes a sub-model based on four first-level indicators for facilitately analysising problems. Due to the complexity of studying the global food system, this article focuses on local areas firstly. Multi-objective optimization of the two goals of equity and sustainability according to the established sub-model, observing the changes of the other two first-level indicators, can get the conclusions: the optimization will reduce the number of food scarcity people in the world. But it will also reduce the profit and efficiency of the food system, and the selling price of various crops may rise. From the variation of sub model parameters，the new food system is more stable than the original food system.
KEYWORDSMulti-objective optimization, entropy weight method, analytic hierarchy process
CITE THIS PAPER
Zhuangzhuang Li. Research on new food supply system based on optimization system. Journal of Electronics and Information Science (2021) 6: 39-42. DOI: http://dx.doi.org/10.23977/jeis.2021.61006
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