AF-CVRP-TW

This dataset is the basis for assessing a new metaheuristic optimization method, called LIFO-GA, which combines the Genetic Algorithm (GA) and the Last-In, First-Out (LIFO) strategy. The Alternative Fuel Capacitated Vehicle Routing issue with Time Windows (AF-CVRP-TW) is a sophisticated and ecologically conscientious variation of the conventional vehicle routing issue, and it is the focus of the suggested approach.

本数据集为评估一种名为LIFO-GA的新型元启发式优化方法提供了支撑，该方法融合了遗传算法（Genetic Algorithm, GA）与后进先出（Last-In, First-Out, LIFO）策略。带时间窗的替代燃料容量车辆路径问题（Alternative Fuel Capacitated Vehicle Routing Issue with Time Windows, AF-CVRP-TW）是传统车辆路径问题的一类兼具复杂性与生态友好性的变体，亦是该新型方法的研究焦点。