A genetic local search algorithm for minimizing total weighted tardiness in the job-shop scheduling problem
✍ Scribed by Imen Essafi; Yazid Mati; Stéphane Dauzère-Pérès
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 234 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0305-0548
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📜 SIMILAR VOLUMES
We present a shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop. The method decomposes the job shop into a number of single-machine subproblems that are solved one after another. Each machine is scheduled according to the solution of its corresponding subproblem.
We consider a job shop with m machines. There are n jobs and each job has a speciÿed sequence to be processed by the machines. Job j has release date rj, due date dj, weight wj and processing time pij on machine i (1; : : : ; m). The objective is to minimize the total weighted tardiness of the n job