Cliff Problem Instances

该数据集包含了用于评估Metropolis算法及各种进化算法在悬崖问题上的表现实例。数据集涵盖了不同设置的Metropolis算法和进化算法，以进行对比分析。其规模为问题大小n等于150，参数m的取值范围为8至32之间，以步长4递增。该数据集的任务是进行优化。

This dataset provides test instances for evaluating the performance of the Metropolis algorithm and various evolutionary algorithms on the cliff problem. It covers Metropolis algorithms and evolutionary algorithms with different configurations to enable comparative analysis. The dataset is configured with a problem size n equal to 150, and the parameter m ranges from 8 to 32 with an increment step of 4. The task of this dataset is optimization.