MRTALBPS with energy objective

10.6084/m9.figshare.20219940 The test problems are divided into four smaller ones (P9, P12, P16, and P24) and three larger ones (P65, P148, and P205). From Kim et al. (2000) are taken P9, P12, and P24. P16, P65, P205, and P148 are derived from Lee et al. (2001), while P205 and P165 are taken from Bartholdi (1993). The preferred job directions and priority diagrams were directly pulled from the literature. Task I's operation time is created at random by robot r between [ 0.8, 1,2], where <em>t </em>corresponds to the originally published operation time in Özcan and Toklu (2000). The uniform distribution U[0,0.75* ] is used to generate a random matrix of sequence-dependent setup times. The ratios of total number of the two models' are equal ( = ). Robot r's standby energy consumption per time unit is equivalent to 10% of the robot r's operation energy consumption which is taken from Li et al. (2016). The test problems are divided into four smaller ones (P9, P12, P16, and P24) and three larger ones (P65, P148, and P205). From Kim et al. (2000) are taken P9, P12, and P24. P16, P65, P205, and P148 are derived from Lee et al. (2001), while P205 and P165 are taken from Bartholdi (1993). The preferred job directions and priority diagrams were directly pulled from the literature. Task I's operation time is created at random by robot r between [ 0.8, 1,2], where <em>t </em>corresponds to the originally published operation time in Özcan and Toklu (2000). The uniform distribution U[0,0.75* ] is used to generate a random matrix of sequence-dependent setup times. The ratios of total number of the two models' are equal ( = ). Robot r's standby energy consumption per time unit is equivalent to 10% of the robot r's operation energy consumption which is taken from Li et al. (2016).

10.6084/m9.figshare.20219940 本数据集的测试问题分为4个小规模问题（P9、P12、P16与P24）以及3个大规模问题（P65、P148与P205）。其中P9、P12、P24取自Kim等人（2000）的研究；P16、P65、P205与P148源自Lee等人（2001）的工作，而P205和P165则取自Bartholdi（1993）的研究。优先作业方向与优先级图直接取自相关文献。任务I的作业时长由机器人r在区间[0.8, 1.2]（原文本疑似笔误，原表述为[ 0.8, 1,2]）内随机生成，其中<em>t</em>对应Özcan与Toklu（2000）中发布的原始作业时长。采用均匀分布（uniform distribution）U[0, 0.75*t]（原文本疑似漏写参数t，原表述为U[0,0.75* ]）生成与序列相关的调整时间（sequence-dependent setup times）随机矩阵。两种模型的总数量之比为1:1（原文标注为二者相等）。机器人r的单位时间待机能耗等价于其作业能耗的10%，该作业能耗取自Li等人（2016）的研究。本数据集的测试问题分为4个小规模问题（P9、P12、P16与P24）以及3个大规模问题（P65、P148与P205）。其中P9、P12、P24取自Kim等人（2000）的研究；P16、P65、P205与P148源自Lee等人（2001）的工作，而P205和P165则取自Bartholdi（1993）的研究。优先作业方向与优先级图直接取自相关文献。任务I的作业时长由机器人r在区间[0.8, 1.2]（原文本疑似笔误，原表述为[ 0.8, 1,2]）内随机生成，其中<em>t</em>对应Özcan与Toklu（2000）中发布的原始作业时长。采用均匀分布（uniform distribution）U[0, 0.75*t]（原文本疑似漏写参数t，原表述为U[0,0.75* ]）生成与序列相关的调整时间（sequence-dependent setup times）随机矩阵。两种模型的总数量之比为1:1（原文标注为二者相等）。机器人r的单位时间待机能耗等价于其作业能耗的10%，该作业能耗取自Li等人（2016）的研究。