Benchmark dataset and results for the Satellite Mission Planning Problem

This dataset contains the instances and results provided in the paper titled as "Quantum Optimization Methods for Satellite Mission Planning", which is an extension of [1]. [1] Makarov, A., Taddei, M. M., Osaba, E., Franceschetto, G., Villar-Rodriguez, E., & Oregi, I. (2023, November). Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 3-14). Cham: Springer Nature Switzerland.本数据集收录自题为《面向卫星任务规划的量子优化方法（Quantum Optimization Methods for Satellite Mission Planning）》的论文，其中包含该论文所提供的实验实例与结果，该研究为文献[1]的拓展工作。[1] Makarov, A.、Taddei, M. M.、Osaba, E.、Franceschetto, G.、Villar-Rodriguez, E. 与 Oregi, I.（2023年11月）. 基于量子计算的对地观测卫星图像采集优化（Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing）. 收录于国际智能数据工程与自动化学习会议（International Conference on Intelligent Data Engineering and Automated Learning），第3-14页。瑞士沙姆（Cham）：施普林格自然瑞士分社（Springer Nature Switzerland）。

搜集汇总

背景与挑战

背景概述

该数据集为卫星任务规划问题提供基准实例和结果，源自一篇应用量子优化方法的研究论文，扩展了先前工作。数据集包含CSV格式的实例文件和结果报告，涉及量子计算和组合优化领域，采用CC BY 4.0许可证开放共享，适用于相关算法测试和比较。