用神经元理论优化生活垃圾收运路线

Application studies of nerve unit theory about routes optimization fordaily rubbish carrying system

依据神经元理论、搜索技术、递归调用理论等优化理论,对收运路线系统中的主要影响因素———垃圾收集频率进行分析探讨,科学地提出了垃圾点在存在收集频率问题时,优化的收运路线方案的确定方法.确定以收运线路总行程最短为目标函数,以满足各垃圾点收集频率等要求为约束条件,建立了数学模型,并在此基础上编制了计算机程序.通过快速、准确的计算,建立城市垃圾收运路线的优化系统是可行的,为实现计算机自动化管理提供可能,为实现城市垃圾收运系统的科学管理奠定基础.

On the basis of the nerve unit theory, seeking technique and gradual conclusion theory, this article analyzes and discusses the main affecting factors, the frequency of collecting rubbish, in the system of route optimization and puts forward a solution for establishing the project of collection route optimization when there is the problem of collection frequency on garbage spot. Through study and analysis, the mathematical model is established with the object function of the shortest total collection route and the restriction of meeting the collection frequency of every garbage spot. The computer program is reached on the basis of above research. We can get the advanced schema of the route of carrying urban rubbish through the quick and accurate calculation, which can be feasible on theory, and is reference for the scientific computer automatic management in the carrying urban rubbish system.