为缓解牦牛种群结构分配不合理导致的草畜矛盾突出、生态环境恶化及农牧民经济收益降低。结合信息化技术及放牧系统优化理论,文中提出了一种求解高寒牧场牦牛种群结构优化问题的遗传算法。首先将高寒牧场牦牛种群结构优化问题转换为数学模型,然后通过改进的遗传算法对模型进行仿真及其求解。最后经仿真实验,充分验证了本文算法的有效性和实用性。实验结果明确证明了该算法可以很好地解决高寒牦牛种群结构优化问题,为高寒牧场牦牛种群的年度出栏结构提供一定的指导作用。
In order to alleviate the conflict between forage and livestock,ecological environment deterioration and the decrease of herdsmen′ economic income caused by the unreasonable distributionof yak population structure, combining with information technology and grazing system optimizationtheory, an improved genetic algorithm to solve the problem of yak population structure optimization inalpine pasture was proposed. First,the population structure optimization problem of yak in alpinemeadow was transformed into a mathematical model,and then we simulated and solved the model byusing the improved genetic algorithm. Finally,the simulation experiment proved the validity andpracticability of this algorithm. The experimental results clearly demonstrate that the algorithm cansolve the problem of yak population structure optimization in alpine pasture very well. The study provides some guidance for the annual yak slaughter structure on alpine pastures.