Dataset for: Job shop scheduling problem with a dual-gripper robot

Dataset Description: Job Shop Scheduling Problem with a Dual-Gripper Robot This dataset contains test instances for evaluating the job shop scheduling problem with a dual-gripper robot, which are used in Section 6 "Experimental study" of our paper. Each configuration includes 5 different data sets, categorized into three scales: 1. Small-scale instances (small_scale): - m3j3: Instances with 3 machines and 3 jobs - m3j4: Instances with 3 machines and 4 jobs - m3j5: Instances with 3 machines and 5 jobs - m4j4: Instances with 4 machines and 4 jobs 2. Medium-scale instances (medium_scale): - m4j4: Instances with 4 machines and 4 jobs - m4j5: Instances with 4 machines and 5 jobs - m4j6: Instances with 4 machines and 6 jobs 3. Large-scale instances (large_scale): - m5j6: Instances with 5 machines and 6 jobs - m5j7: Instances with 5 machines and 7 jobs - m5j10: Instances with 5 machines and 10 jobs Naming convention:- 'm' indicates the number of machines, 'j' indicates the number of jobs- For example, m3j4 represents problem instances with 3 machines and 4 jobs Each instance file contains job processing times and their corresponding machines. These instances are used to evaluate the effectiveness and computational performance of the proposed algorithm.