农田资源优化分配的计算机仿真

Simulation of Farmland Resource Optimal Allocation

对于既定面积的农田资源,为使所产作物较能针对市场需求,并使种植经济效益最大化,需合理分配不同作物的种植面积。通过分析不同作物的种植成本,存贮成本,结合作物的收成与销售价格,获得各作物的种植经济效益对于种植面积的非线性关系,建立相应的计算机仿真数学模型。为了有效预测来年的作物收成和销售价格,简化假定来年的种植计划不影响来年的销售价格,根据往年的统计数据得到有关的预测数据。对资源分配问题用遗传算法进行优化求解,得到使净收益最大化的种植田亩分配方案结果。分析结论表明,最大经济效益对应的种植面积分配方案有一定的选择范围,更合理的种植面积分配方案必须面向市场需求。

Allocation of planting areas between different crops is needed for the given farmland resource with known area when the plantation of the crops is market oriented and the economic profit is concerned. In the paper, both of the plantation costs and storage costs of different crops were analyzed. With the consideration of the harvests and the selling prices, the nonlinear relationships between the economical plantation profit and the plantation area of different crops were obtained with the simulation math models. The key difficulty of the math modeling problem is how to predict the harvests and the selling prices of the crops of the coming year. To this end, it is supposed that the allocation plane in the coming year would not affect the selling prices of the crops to be produced, and the statistics data of the previous years were used for the prediction. The allocation problem for the farmland resource was solved with the genetic algorithm, and the best allocation schemes corresponding to the maximum profit was produced. Analysis on the computed results show that there is a range of allocation schemes which corresponds to maximum profit. Hence, more reasonable allocation schemes should also be market oriented.