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

Authors :
Zhou, Yongwei
Fan, Hehua
Lima, Stanley
Rocha, Álvaro
Source :
Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 3, p2901-2907. 7p.
Publication Year :
2018

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
35
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
132098570
Full Text :
https://doi.org/10.3233/JIFS-169645