Research Article
Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms
Table 4
Experimental design results of PSOA_CFM with different groups of parameters.
| PSOA_CFM | Generation | Particle | Velocity | , | Convergence time (S) | Execution time (S) | Objective function value |
| 1000 | 10 | 20 | 2.05, 2.05 | 2.77 | 3.76 | 596860.2 | 2.8, 1.3 | 1.84 | 3.92 | 580909.7 | 50 | 2.05, 2.05 | 4.85 | 8.18 | 591679.5 | 2.8, 1.3 | 4.14 | 7.95 | 575782.2 | 20 | 20 | 2.05, 2.05 | 3.37 | 5.05 | 604557 | 2.8, 1.3 | 4.43 | 7.29 | 588076.4 | 50 | 2.05, 2.05 | 9.01 | 19.16 | 598957.1 | 2.8, 1.3 | 8.54 | 15.41 | 583530.4 |
| 2000 | 10 | 20 | 2.05, 2.05 | 6.45 | 9.08 | 579670.6 | 2.8, 1.3 | 6.20 | 8.68 | 574969.5 | 50 | 2.05, 2.05 | 11.53 | 19.22 | 601022.2 | 2.8, 1.3 | 9.86 | 16.44 | 583479.2 | 20 | 20 | 2.05, 2.05 | 8.34 | 15.57 | 594554.6 | 2.8, 1.3 | 9.91 | 16.53 | 579629.1 | 50 | 2.05, 2.05 | 22.64 | 37.74 | 605729.6 | 2.8, 1.3 | 18.84 | 31.40 | 574033.9 |
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