English, Article, Journal or magazine article edition: A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties Jorge M. S. Valente; José Fernando Gonçalves

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Bookmark: http://trove.nla.gov.au/version/182676
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties
Author
  • Jorge M. S. Valente
  • José Fernando Gonçalves
Physical Description
  • preprint
Notes
  • In this paper, we consider the single machine scheduling problem with linear earliness and quadratic tardiness costs, and no machine idle time. We propose a genetic approach based on a random key alphabet. Several genetic algorithms based on this approach are presented. These versions differ on the generation of the initial population, as well as on the use of local search. The proposed procedures are compared with the best existing heuristic, as well as with optimal solutions for the smaller instance sizes. The computational results show that the performance of the proposed genetic approach is improved by the addition of a local search procedure, as well as by the insertion of simple heuristic solutions in the initial population. Indeed, the genetic versions that include either or both of these features not only provide significantly better results, but are also much faster. The genetic versions that use local search are clearly superior to the best existing heuristic, and the improvement in performance increases with both the size and difficulty of the instances. These procedures are also quite close to the optimum, and provided an optimal solution for most of the test instances.
  • scheduling, single machine, linear earliness, quadratic tardiness, genetic algorithms
  • RePEc:por:fepwps:264
Language
  • English
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