Research on multi objective optimization model of sustainable agriculture industrial structure based on genetic algorithm

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Zhou, Yongwei^{a; b; *} | Fan, Hehua^{a; b}

Affiliations: [a] College of Science, Zhengzhou University of Aeronautics, Zhengzhou, China | [b] Collaborative Innovation Center for Aviation Economic Development of Henan Province, Zhengzhou, China

Correspondence: [*] Corresponding author. Yongwei Zhou. E-mail: dstqld@163.com.

Abstract: Faced with the problems of low production efficiency and unreasonable industrial organization exist in the development of agriculture, this paper studied the multi-objective optimization of sustainable agricultural industrial structure based on genetic algorithm in order to optimize the allocation of agricultural industrial structure. First of all, this paper expounded the current agricultural development background, and then put forward the research status of multi-objective optimization algorithm, based on which points out the advantages of genetic algorithm. Then, establish the model system that is based on the optimal allocation of industrial structure. Use the improved genetic algorithm to solve the problem, and modify the operator design to obtain the optimal algorithm for the sustainable agricultural optimization sequence. The results of the algorithm evaluation show that the optimized industrial structure benefit value and sustainability both have been improved.

Keywords: Sustainable agriculture, multilevel objective optimization, genetic algorithm, industry institution

DOI: 10.3233/JIFS-169645

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2901-2907, 2018