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
Link To Document :
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