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Beschreibung
With related studies demonstrating that ant colony optimization algorithm (ACO), and particle swarm algorithm (PSO) are both effective and efficient means of solving scheduling problems, this study; develops a farness particle swarm optimization algorithm (FPSO) to solve reentrant two-stage multiprocessor flow shop scheduling problems in order to minimize earliness and tardiness, a novel effective ant colony optimization (EACO) algorithm to solve two-stage flexible flow shop scheduling problems and thereby minimize earliness, tardiness and makespan, and a wise select ant colony optimization (WSACO) utilizing due window and sequence dependent setup time for constraints in job shop scheduling.
-Flow Shop and Job Shop Cases
Details
| Verlag | ¿¿¿¿¿¿¿ |
| Ersterscheinung | 13. Juli 2015 |
| Maße | 22 cm x 15 cm x 0.9 cm |
| Gewicht | 227 Gramm |
| Format | Softcover |
| ISBN-13 | 9783639817409 |
| Seiten | 140 |
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