蚁群算法在GIS中的应用
he ant group algorithm hits the target in GIS applying
蚁群算法是由意大利学者Dorigo等人于20世纪90年代初期通过模拟自然界中蚂蚁集体寻径的行为而提出的一种基于种群的启发式仿生进化系统。本文用蚁群算法的出现及其不断的发展和完善,为最短路径的求解提供了一种新的有效的方法。本文将对该算法应用于GIS中最短路径的求解方面的问题进行初步的研究。并且该算法采用了分布式正反馈并行计算机制,易于与其他方法结合,而且具有较强的鲁棒性,是一种很有前途的仿生优化算法。本文将对该算法应用于GIS中最短路径的求解方面的问题进行初步的研究。
nt alogrithm is form Ttaly and schoolars Dorigo, who in the early 1990s through the simulation of the collective nature of the ants and roulting of the propulation based on a heurisic bionic evolution system. In this paper, ant algorithm and the emergence of continuous devolopment and improvent of the shortest path to the solution provides a new and effective methods. This paper will be applied to the algorithm in GPS shortest path to solve the problem of conducting a preliminary study. The algorithn used and distributed parralled computer system of positive feedbacl and easy to integrate with other methods, but also is robust, is a promising bionic optimization algorithm. This paper will be applied to the algorithms, Preliminary Study.
王诚
遥感技术工程设计、工程测绘
蚁群算法应用研究
nt Colony AlgorithmsPreliminary Study
王诚.蚁群算法在GIS中的应用[EB/OL].(2008-09-08)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200809-211.点此复制
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