Investigating the use of genetic programming for a classic one-machine scheduling problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Dimopoulos:2001:AES,
  author =       "C. Dimopoulos and A. M. S. Zalzala",
  title =        "Investigating the use of genetic programming for a
                 classic one-machine scheduling problem",
  journal =      "Advances in Engineering Software",
  volume =       "32",
  pages =        "489--498",
  year =         "2001",
  number =       "6",
  month =        jun,
  email =        "cop97cd@sheffield.ac.uk",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, Manufacturing optimisation, Tardiness,
                 Scheduling",
  URL =          "http://www.sciencedirect.com/science/article/B6V1P-42YFC02-7/1/6be8f2e3206dccb17801b7a7833a6299",
  ISSN =         "0965-9978",
  DOI =          "doi:10.1016/S0965-9978(00)00109-5",
  abstract =     "Genetic programming has rarely been applied to
                 manufacturing optimisation problems. We investigate the
                 potential use of genetic programming for the solution
                 of the one-machine total tardiness problem. Genetic
                 programming is used for the evolution of scheduling
                 policies in the form of dispatching rules. These rules
                 are trained to cope with different levels of tardiness
                 and tightness of due dates.",
}

Genetic Programming entries for Christos Dimopoulos Ali M S Zalzala

Citations