用改进遗传算法求解高寒草地放牧多目标优化模型

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI:10.1109/CISP-BMEI.2018.8633177

Xiaofeng Qin, Chen Zhang, Zijie Sun, Yu-an Zhang, R. Song, Meiyun Du

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引用次数: 0

摘要

三江区是具有高寒草原特征的开放式复杂生态系统，畜牧业是主导产业，是牧民生产生活的支柱。本文建立了三江源高寒草原放牧牦牛的优化牦牛结构模型，通过遗传算法模拟求解过程，定量分析了草原生态系统与畜牧业的关系，最终得到了牦牛种群的最优屠宰结构。

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Solving The Multi-Objective Optimization Model for Alpine Grassland Grazing With Modified Genetic Algorithms

Three-Rivers District is an open complex ecosystem with alpine grassland characteristics, animal husbandry is the leading industry and the pillar of herders' production and life. In this paper, we established an optimization yak structure model for grazing yak in alpine grassland in Three-Rivers Source area, the solution process was simulated by genetic algorithm, and quantitatively analyzed the relationship between grassland ecosystem and livestock husbandry, finally obtained the optimum slaughtered structure of yak population.

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2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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