任务-资源优化匹配测试数据集

本数据集来自于波兰教授Paweł B. Myszkowski研究多技能资源受限项目调度问题公开发布的数据集。研究相关领域的学者很多都使用该数据集进行任务资源匹配算法研究，以便相互比较。iMOPSE旨在提供数据集允许用户使用各种启发式或元启发式优化各种调度，如进化算法、差分进化、禁忌搜索、模拟退火、粒子群优化、蚁群优化等。

This dataset was publicly released by Polish Professor Paweł B. Myszkowski as part of his research on the multi-skill resource-constrained project scheduling problem. It has been widely adopted by scholars across relevant research fields to conduct studies on task-resource matching algorithms for fair performance comparisons between different approaches. The iMOPSE project aims to provide this dataset to enable users to optimize various scheduling tasks using diverse heuristic or meta-heuristic algorithms, including evolutionary algorithms, differential evolution, tabu search, simulated annealing, particle swarm optimization, ant colony optimization, and other similar methods.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于多技能资源受限项目调度问题（MS-RCPSP）的测试数据集，源自波兰教授Paweł B. Myszkowski的公开数据，旨在支持任务资源匹配算法的研究和比较。它属于iMOPSE环境，允许用户应用各种启发式或元启发式优化方法进行调度优化，数据量为4.09MB，包含39个文件，适用于资源科学技术领域的研究。