【摘要】 研究极端天气下的农机应急调配方法,提高调配的合理性。在极端天气环境下,农机调配以及时性抢救生命财产安全为第一目的,农机调动的油耗-成本等不再成为第一要素。传统的农机调配方法以最低成本获得最高收益为目的,建立了农机调配收益模型,灾害环境下,调配的目的不再受成本约束的影响,使得模型失效。提出基于循环博弈算法的极端天气下农机应急调配方法。根据极端天气导致的灾害分布情况,得到农机调配最佳反应函数,计算应急博弈补偿,得到延迟容忍最佳反应函数,并对上述过程进行迭代处理。根据粒子群理论,得到由于极端天气下农机调度离散种群映射,实现粒子群更新,获取最优的调度。实验结果表明,利用改进算法进行农机应急调配,能够极大地提高调配效率。更多还原

【Abstract】 Research methods of extreme weather emergency deployment of farm machinery, to enhance the rationality of deployment. In extreme weather conditions, agricultural machinery deployment with timely rescue of life and property safety as the first purpose, the transfer of farm machinery oil consumption- cost is not become the first elements. Traditional agricultural machinery allocation methods obtain highest yield at the lowest cost, for the purpose of farm machinery allocate revenue model is established, however, disaster environment, deployment is not affected by the cost constraint, the purpose of making the model. Therefore, based on the circular game algorithm under the extreme weather of farm machinery emergency deployment method. According to the extreme weather disasters caused by distribution of agricultural machinery deployment best reaction function, calculation of emergency game compensation, delay tolerance optimal reaction function, and the process for iterative processing. According to the theory of particle swarm, due to extreme weather farm machinery scheduling discrete population map, realize the particle swarm update, obtaining the optimal scheduling scheduling. Experimental results show that the improved algorithm of agricultural machinery emergency deployment, can greatly improve the efficiency of allocation.更多还原