| Support-based distributed optimisation: an approach to radiotherapy patient scheduling. | |
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MedLine Citation:
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PMID: 20543441 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In the health system inefficiency leads to poor use of scarce expensive resources. Lengthy patient treatment waiting time can result from inefficiency in scheduling. The use of state-of-the art multi-agent and distributed computing technologies can provide a solution to address this problem. However, distributed optimisation in such a multi-agent setting poses an important challenge that requires protocols to enable agents to optimise shared objectives without necessarily revealing all of their private constraints. In this study we show that if the problem is expressed as a Dynamic Distributed Constraint Optimisation Problem a powerful algorithm such as SBDO can be deployed to solve it. As SBDO can be deployed in a grid all of the advantages of grid computing are also gained. |
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Authors:
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Graham Billiau; Chee Fon Chang; Andrew Miller; Aditya Ghose |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 159 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2010 |
Date Detail:
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Created Date: 2010-06-14 Completed Date: 2010-10-05 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 229-33 Citation Subset: T |
Affiliation:
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Decision Systems Lab and Centre for Oncology Informatics, School of Computer Science and Software Engg, University of Wollongong, NSW, Australia. gdb339@uow.edu.au |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Appointments and Schedules* Humans Radiotherapy* Software |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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