Thief Orienteering Problem Instances
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/jonatasbcchagas/aco_thop
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资源简介：
该数据集包含432个通过修改TTP实例生成的ThOP实例，重点关注城市数量、每个城市的物品数量、背包类型、背包大小和最大旅行时间等不同参数。实例采用XXX_YY_ZZZ_WW_TT.thop的格式进行标识，其中各值分别对应城市数量、每个城市的物品数量、背包类型、背包大小和最大旅行时间等特征。该数据集规模为432个具有不同特征的实例，其任务是评估蚁群优化算法在ThOP上的性能。
This dataset contains 432 ThOP instances generated by modifying existing TTP instances, with emphasis on diverse parameters including the number of cities, the number of items per city, knapsack type, knapsack capacity, and maximum travel time. The instances are identified in the format XXX_YY_ZZZ_WW_TT.thop, where each value corresponds to the number of cities, number of items per city, knapsack type, knapsack capacity, and maximum travel time respectively. This dataset consists of 432 instances with distinct characteristics, and its purpose is to evaluate the performance of ant colony optimization algorithms on the ThOP.
