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).