基于遗传代理的动态网络地图综合方法
Genetic agent approach for improving on-the-fly web map generalization
摘要：
网络地图的使用在地图学领域变得越来越重要。用户希望访问特定于其需求的网络空间数据。出于这个原因，出现了不同的方法来生成用户所需的动态地图，但这些都不足以指导一个灵活和有效的过程。因此，必须根据用户需求开发新的方法来改进这一过程。本文的工作重点是定义一种新的策略，以改善动态地图综合过程中，解决空间冲突。这种方法使用多重表示和制图综合。地图综合过程是基于多智能体系统的实现，其中每个智能体都配备有遗传遗传遗产。
英文摘要：
The utilization of web mapping becomes increasingly important in the domain of cartography. Users want access to spatial data on the web specific to their needs. For this reason, different approaches were appeared for generating on-the-fly the maps demanded by users, but those not suffice for guide a flexible and efficient process. Thus, new approach must be developed for improving this process according to the user needs. This work focuses on defining a new strategy which improves on-the-fly map generalization process and resolves the spatial conflicts. This approach uses the multiple representation and cartographic generalization. The map generalization process is based on the implementation of multi- agent system where each agent was equipped with a genetic patrimony.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
