| ACO for the Surgical Cases Assignment Problem. | |
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MedLine Citation:
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PMID: 21225322 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This paper addresses the Surgical Case Assignment Problem with an objective of minimizing the total unexploited and operating cost. A two-stage ant colony optimization (ACO) algorithm is introduced and its performance is evaluated by comparing its solutions to the solutions of Branch and Bound and a global solver. The results show that ACO outperformed the other algorithms and reached better solutions in a faster computational time. |
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Authors:
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Charbel Rizk; Jean-Paul Arnaout |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-12 |
Journal Detail:
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Title: Journal of medical systems Volume: - ISSN: 0148-5598 ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Industrial and Mechanical Engineering Department, Lebanese American University, P.O. Box 36, Byblos, 101-F, Lebanon, charbelrizk@narizk.com. |
Export Citation:
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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