mUBQP Instances

该数据集包含了不同目标相关性系数、目标函数数量、位串长度以及矩阵密度的mUBQP实例。具体来说，这些实例的目标相关性系数ρ涵盖了{-0.9, -0.2, 0.0, 0.2, 0.5, 0.9}的值，目标函数数量m有2、3和4，而位串长度d的值为0.4和0.8。此外，该数据集在规模上包含了15个实例，每个实例的位串长度为1000。这些数据集的任务是针对多目标优化问题。This dataset encompasses mUBQP instances with varying parameters including objective correlation coefficients, counts of objective functions, bitstring lengths, and matrix densities. Specifically, the objective correlation coefficient ρ for these instances ranges over the set {-0.9, -0.2, 0.0, 0.2, 0.5, 0.9}, the number of objective functions m takes values 2, 3, and 4, and the bitstring length d is set to 0.4 and 0.8. Additionally, this dataset consists of 15 instances in total, each with a bitstring length of 1000. The tasks targeted by these datasets focus on multi-objective optimization problems.

搜集汇总

背景与挑战

背景概述

该数据集为多目标无约束二次规划（mUBQP）问题实例集合，包含多个文本文件，每个文件以参数组合命名（如相关系数、目标数、变量数等），适用于优化算法研究和性能测试。数据集缺乏详细描述，但文件命名暗示了不同参数配置的实例。