Data underlying the publication: Simulation-optimization configurations for real-time decision-making in 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 "Simulation-optimization configurations for real-time decision-making in fugitive interception" (https://doi.org/10.1016/j.simpat.2024.102923).<br>The optimization algorithm can be found under<em> platypus-fork.zip</em>.<br>In<em> simopt-configs.zip</em>, the folders _cleaned data_ and _models_ contain all results and software for:- Sequential Simulation Optimization (abbreviated as _seq_ in file names), solved with MIP solver CBC (https://github.com/coin-or/Cbc)- Sequential Simulation Optimization (_seq_), solved with metaheuristic Borg- Simulation Model Optimization (abbreviated as _smo_ in file names), solved with metaheuristic Borg

本仓库为代尔夫特理工大学Irene S. van Droffelaar博士学位论文的组成部分。
本仓库配套论文《面向逃犯拦截实时决策的仿真优化配置》（DOI: 10.1016/j.simpat.2024.102923）。
优化算法存放于`platypus-fork.zip`文件中。
在`simopt-configs.zip`压缩包内，`_cleaned data_`与`models`文件夹包含了用于以下三类任务的全部实验结果与配套软件：
- 序贯仿真优化（文件名中缩写为`seq`），采用混合整数规划（Mixed Integer Programming, MIP）求解器CBC（https://github.com/coin-or/Cbc）求解；
- 序贯仿真优化（文件名中缩写为`seq`），采用元启发式算法Borg求解；
- 仿真模型优化（文件名中缩写为`smo`），采用元启发式算法Borg求解。