MultiZenoTravel

MultiZenoTravel是一个用于多目标规划的可调基准数据集，由YData Lab Inc.的研究团队开发。该数据集旨在通过已知的Pareto前沿来评估和比较不同优化算法的性能。数据集通过特定的算法生成，可以处理现实世界中的实例，如航空路线规划，考虑了航线的距离和风险等因素。MultiZenoTravel数据集的应用领域包括但不限于航空运输的路线和时间表优化，以及算法性能的基准测试和探索性景观分析。

MultiZenoTravel is a tunable benchmark dataset for multi-objective planning, developed by the research team at YData Lab Inc. This dataset is designed to evaluate and compare the performance of various optimization algorithms using known Pareto fronts. Generated via specialized algorithms, the dataset can handle real-world scenarios such as air route planning, where factors including route distance and risk are taken into account. Application scenarios of the MultiZenoTravel dataset include, but are not limited to, route and schedule optimization for air transportation, as well as benchmark testing of algorithm performance and exploratory landscape analysis.