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

机译:基于遗传算法的可持续农业产业结构多目标优化模型研究

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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.
机译:本文研究了农业发展低生产效率和不合理的产业组织的问题,研究了基于遗传算法的可持续农业产业结构的多目标优化,以优化农业产业结构分配。 首先,本文阐述了当前的农业发展背景,然后提出了多目标优化算法的研究现状,基于该算法的研究现状,指出了遗传算法的优势。 然后,建立基于产业结构最优分配的模型系统。 使用改进的遗传算法来解决问题,并修改操作员设计以获得可持续农业优化序列的最优算法。 算法评估结果表明,优化的产业结构效益和可持续性都得到了改善。

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