CEC 2017 Competition Data

该数据集来源于2017年的CEC竞赛，用于评估13种元启发式算法在30个基准函数以及五个性能指标上的表现，这些指标涵盖四个维度。数据集还包括决策矩阵，它基于五个性能度量（最佳、最差、中位数、平均数和标准差）来总结每个算法的表现。该数据集的规模涉及在四个维度（10、30、50、100）上评估30个基准函数。任务是对元启发式优化算法进行排名。

This dataset originates from the 2017 CEC Competition, which is utilized to assess the performance of 13 meta-heuristic algorithms on 30 benchmark functions and five performance metrics that cover four dimensions. The dataset also includes a decision matrix that summarizes the performance of each algorithm based on five performance measures: best, worst, median, mean, and standard deviation. The scope of this dataset involves evaluating 30 benchmark functions across four dimensional configurations (10, 30, 50, 100). The task of this dataset is to rank meta-heuristic optimization algorithms.