JSSP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Job Shop Scheduling Problem | JSSP | Feasibility100 | 21 | |
| Job-Shop Scheduling Problem | JSSP 100 instances 10x10 (test) | Objective Value807.6 | 19 | |
| Job-Shop Scheduling Problem | JSSP 10x10 (train) | Objective Value807.6 | 14 | |
| Job-Shop Scheduling | JSSP Large Instance 20x20 instance 3 (test) | Avg Objective Value1,881.06 | 10 | |
| Job-Shop Scheduling | JSSP Large Instance 20x15 instance 2 (test) | Average Objective Value1,637.07 | 10 | |
| Job-Shop Scheduling | JSSP Large Instance 20x10 Instance 1 (test) | Average Objective Value1,376.08 | 10 | |
| Job-Shop Scheduling | JSSP Large Instance (15x20) instance 3 (test) | Average Objective Value1,667.1 | 10 | |
| Job-Shop Scheduling | JSSP Large Instance 15x15 instance 2 (test) | Avg Objective Value1,404.42 | 10 | |
| Job-Shop Scheduling | JSSP Large Instance (15x10, 1) (test) | Average Makespan1,158.55 | 10 | |
| Job Shop Scheduling Problem | JSSP 20x15 Generalization | Objective Value1,345.5 | 8 | |
| Job Shop Scheduling Problem | JSSP 15x15 Generalization | Makespan1,188 | 8 | |
| Job-Shop Scheduling Problem | JSSP Generalization 20x15 | Objective Value1,345.5 | 6 | |
| Job-Shop Scheduling Problem | JSSP Generalization 15x15 | Objective Value1,188 | 6 | |
| Job Shop Scheduling Problem | JSSP Large, 70–100 jobs | Optimality Gap10.52 | 4 | |
| Job Shop Scheduling Problem | JSSP Medium 40–60 jobs | Optimality Gap6.68 | 4 | |
| Job Shop Scheduling Problem | JSSP Small 10–30 jobs | Optimality Gap3.58 | 4 | |
| Integer Programming | JSSP (test) | Mean Relative Gap Improvement (5s)64.1 | 3 | |
| Integer Programming | JSSP | SGM Speedup (g=1e-5)2.18 | 1 |
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