Abstract
A GRASP algorithm was implemented in a common spreadsheet for single machine scheduling total weighted tardiness problem, and was tested with OR-Library instances. Results were compared with optimum or best known schedules for each instance, yielding less than 1% of difference in 93% of the cases, which results in an excellent tradeoff among results quality, computational effort and implementation easiness. Local search was performed on the post-optimization phase, based on dominancy rules, which yielded even better results with little implementation effort.
| Translated title of the contribution | Greedy randomized adaptive search procedure (GRASP): A valuable alternative for minimizing machine total weighted tardiness |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 275-295 |
| Number of pages | 21 |
| Journal | Ingenieria y Universidad |
| Volume | 14 |
| Issue number | 2 |
| State | Published - 2010 |
Keywords
- Production programming
- metaheuristics
- weighted tardiness problema
- GRASP
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