• DocumentCode
    2035750
  • Title

    Emergency resource redistribution in the developing world: towards a practical evolutionary/meta-heuristic scheduling system

  • Author

    Tuson, Andrew ; Wheeler, Richard ; Ross, Peter

  • Author_Institution
    Dept. of Artificial Intelligence, Edinburgh Univ., UK
  • fYear
    1997
  • fDate
    2-4 Sep 1997
  • Firstpage
    245
  • Lastpage
    250
  • Abstract
    The problem of logistics in aid projects in the developing world can hardly be understated. One problem that arises is the occurrence of regional imbalances in supply. Such imbalances can seriously compromise the effectiveness of a relief program. A system is required that can suggest a workable redistribution plan. Initial results for a prototype system based on a heuristic plan generator and evolutionary/meta-heuristic optimisers, on real data, were encouraging; however more work still needs to be undertaken before the system can be deployed in the real-world. This paper describes some ongoing work to address some of these issues
  • Keywords
    social sciences; crossover operator; developing world; emergency resource redistribution; evolutionary algorithm; heuristic plan generator; meta-heuristic; regional imbalances; relief programme; scheduling system;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
  • Conference_Location
    Glasgow
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-693-8
  • Type

    conf

  • DOI
    10.1049/cp:19971188
  • Filename
    681033