基于熵的A* 算法优化停车位推荐
Entropy-based Optimization via A* Algorithm for Parking Space Recommendation
Wuhan University of Technology（武汉理工大学）
摘要：
本文讨论了路径规划问题，推荐停车位，考虑到困难的最佳路线空置停车位和最短的时间离开停车位。我们的优化方法是基于熵的方法和实现的A* 算法。实验表明，A* 和熵值的组合诱导具有最短路径的最优停车解决方案，同时对环境因素具有鲁棒性。
英文摘要：
This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space. Our optimization approach is based on the entropy method and realized by the A* algorithm. Experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route while being robust to environmental factors.
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。
