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Informatics Report Series
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| Title:Skill-based Resource Allocation using Genetic Algorithms and an Ontology |
| Authors:
Kushan Nammuni
; John Levine
; John Kingston
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| Date:Sep 2002 |
| Publication Title:Proceedings of the International Workshop on Intelligent Knowledge Management Techniques (I-KOMAT 2002) held at the 6th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2002) |
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Publication Type:Conference Paper
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- Abstract:
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Allocation of tasks to resources is a crucial issue for an organisation. This paper investigates the use of genetic algorithms, combined with an ontology, in producing optimal allocations of tutors to tutorials. The ontology is used to support partial matching; it helps determine which tutors' skills (i.e. resources) are ontologically close to the optimal skill. These are then matched against the skill requirements of the task. The other novel feature of this GA implementation is the steady state duplication elimination algorithm, which (when coupled with 10 per cent best chromosome crossover) produces more solutions with better fitness than a standard steady state GA.
- Copyright:
- 2003 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- No links available
- Bibtex format
- @InProceedings{EDI-INF-RR-0174,
- author = {
Kushan Nammuni
and John Levine
and John Kingston
},
- title = {Skill-based Resource Allocation using Genetic Algorithms and an Ontology},
- book title = {Proceedings of the International Workshop on Intelligent Knowledge Management Techniques (I-KOMAT 2002) held at the 6th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2002)},
- year = 2002,
- month = {Sep},
- }
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