Recent developments in evolutionary computation for manufacturing optimisation: problems, solutions and comparisons

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@Article{chrams00,
  author =       "Christos Dimopoulos and Ali M. S. Zalzala",
  title =        "Recent developments in evolutionary computation for
                 manufacturing optimisation: problems, solutions and
                 comparisons",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2000",
  volume =       "4",
  number =       "2",
  pages =        "93--113",
  email =        "chris_dimop@hotmail.com",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, manufacturing optimization, assembly line
                 balancing, combinatorial NP-hard problems, evolutionary
                 computation, flow shop scheduling, intelligent
                 techniques, job shop scheduling, manufacturing
                 optimisation, process planning, artificial
                 intelligence, computational complexity, evolutionary
                 computation, production control",
  DOI =          "doi:10.1109/4235.850651",
  ISSN =         "1089-778X",
  abstract =     "The use of intelligent techniques in the manufacturing
                 field has been growing the last decades due to the fact
                 that most of manufacturing optimisation problems are
                 combinatorial and NP hard. This report examines recent
                 developments in the field of evolutionary computation
                 for manufacturing optimisation. Significant papers in
                 various areas are highlighted and comparisons of
                 results are given wherever data is available. A wide
                 range of problems is covered, from job shop and flow
                 shop scheduling, to process planning and assembly line
                 balancing",
}

Genetic Programming entries for Christos Dimopoulos Ali M S Zalzala

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