基于蚁群算法的农业节水灌溉路径优化部署

为实现节水灌溉田间地块路径管线部署的管理和控制,采用信息素优化的改进蚁群算法进行设计研究.在现有蚁群算法组合优化的现实缺陷基础上,以田间地块坐标作为数据源,采用改进的蚁群算法对田间地块布线路径进行设计,从而提高蚁群算法在迭代过程中更新最优解的能力,最终在相同的迭代次数内找到路径更短、代价更小的规则,解决农业节水灌溉管线路径部署优化问题,并在VC++程序中验证路径优化的实际问题.测试结果表明:在相同的气候条件下,路径优化部署设计结果可以为节水灌溉的管道布局管理提供参考依据和数据支持.

Study on Pheromone-based Ant Colony Algorithm For Optimal Proliferation

In order to realize the water-saving irrigation of field plots path pipeline deployment management and control,ant colony algorithm with optimized pheromone was designed.Based on the defects of the existing ant colony algorithm combinatorial optimization,with the coordinate of field plots as data source,an improved ant colony algorithm for field plots wiring path was designed to improve the ability to update the optimal solution of ant colony algorithm in an iterative process and finally in the same number of iterations to find the rules of a shorter path and of less cost,to solve the problem of agricultural water-saving irrigation pipeline path optimization and to verify the actual problems in the VC++program validation path optimization.The test results show that,under the same climatic conditions,path optimization design results can provide reference basis and data support for water saving irrigation pipeline layout management.