Data underlying the publication: Timely Adaptive Strategies for Fugitive Interception

This repository is part of the Ph.D. thesis of Irene S. van Droffelaar, Delft University of Technology.<br>This repository accompanies the paper "Timely Adaptive Strategies for Fugitive Interception".<br>Folders <em>DirectPolicySearch, OneShot, PeriodicReOpt, and PolicyTreeOpt</em> contain the models and results for each of the solution approaches used in the paper. Each folder contains the folders <em>testgraph, grid</em>, and <em>city</em>. Each of those contains the runfiles, model files, and HPC results.<br>DirectPolicySearchtestgraphresults_HPC/fugitive_interception_model_city.pyrun_city.pyrun_experiment_city.pygridcityOneShotPeriodicReOptPolicyTreeOpt<br>The optimization algorithm can be found under<em> platypus-fork.zip</em>.本代码库是代尔夫特理工大学（Delft University of Technology）Irene S. van Droffelaar博士学位论文的组成部分。<br>本代码库与论文《Timely Adaptive Strategies for Fugitive Interception》配套发布。<br>文件夹<em>DirectPolicySearch、OneShot、PeriodicReOpt以及PolicyTreeOpt</em>收录了论文中各求解方法对应的模型与实验结果。每个子文件夹下均包含<em>testgraph、grid</em>与<em>city</em>三个子目录，这三个子目录中分别存放了运行脚本、模型文件以及高性能计算（High Performance Computing，HPC）结果。<br>在DirectPolicySearch文件夹的testgraph/results_HPC路径下，包含fugitive_interception_model_city.py、run_city.py与run_experiment_city.py；grid与city目录下则涵盖OneShot、PeriodicReOpt与PolicyTreeOpt相关内容。<br>本次使用的优化算法可在<em>platypus-fork.zip</em>中获取。