Skip to main navigation Skip to search Skip to main content

Greedy randomized adaptive search procedure (GRASP), una alternativa valiosa en la minimización de la tardanza total ponderada en una máquina

Translated title of the contribution: Greedy randomized adaptive search procedure (GRASP): A valuable alternative for minimizing machine total weighted tardiness

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 contributionGreedy randomized adaptive search procedure (GRASP): A valuable alternative for minimizing machine total weighted tardiness
Original languageSpanish
Pages (from-to)275-295
Number of pages21
JournalIngenieria y Universidad
Volume14
Issue number2
StatePublished - 2010

Keywords

  • Production programming
  • metaheuristics
  • weighted tardiness problema
  • GRASP

Fingerprint

Dive into the research topics of 'Greedy randomized adaptive search procedure (GRASP): A valuable alternative for minimizing machine total weighted tardiness'. Together they form a unique fingerprint.

Cite this