An intercell scheduling approach considering transportation capacity

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Miao Li and Hong Zheng and Dongni Li and 
                 Xianwen Meng",
  booktitle =    "IEEE International Conference on Automation Science
                 and Engineering (CASE 2014)",
  title =        "An intercell scheduling approach considering
                 transportation capacity",
  year =         "2014",
  month =        aug,
  pages =        "594--599",
  abstract =     "Intercell scheduling disrupts the cellular
                 manufacturing philosophy of creating independent cells,
                 but is essential for enterprises to reduce costs. Since
                 intercell scheduling is in nature the coordination of
                 intercell production and intercell transportation, the
                 intercell scheduling problem is considered with
                 transportation constraints in this paper.
                 Hyper-heuristics are known for their computational
                 efficiency but are lack in effectiveness since the
                 candidate heuristic rules are usually manually set in
                 advance. In this paper, a hybrid evolution-based
                 hyper-heuristic algorithm is developed for the
                 addressed intercell scheduling problem considering
                 transportation capability. In order to improve the
                 effectiveness of hyper-heuristics, genetic programming
                 is introduced to generate new heuristic rules
                 automatically based on the information of machines or
                 vehicles, thus expanding the set of the candidate
                 rules, and then, a rule selection genetic algorithm is
                 developed to select appropriate rules from the obtained
                 rule set, for the machines and vehicles, respectively.
                 Finally, the scheduling solutions are generated
                 according to the selected rules. The contribution of
                 this work lies in (a) intercell transportation is
                 considered in the intercell scheduling problem, and (b)
                 heuristic generation is adopted in advance of the
                 heuristic selection, constructing a more effective
                 hyper-heuristic with both computation efficiency and
                 optimisation performance.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CoASE.2014.6899387",
  notes =        "Also known as \cite{6899387}",

Genetic Programming entries for Miao Li Hong Zheng Dongni Li Xianwen Meng