An agent-based approach to knapsack optimization problems Polyakovskiy, Sergey and M'Hallah, Rym 2007, An agent-based approach to knapsack optimization problems, in NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Berlin, Germany, pp. 1098-1107, doi: 10.1007/978-3-540-73325-6_110. Attached Files Name Description MIMEType Size Downloads Title An agent-based approach to knapsack optimization problems Author(s) Polyakovskiy, Sergey orcid.org/0000-0001-9489-1972 M'Hallah, Rym Conference name 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems Conference location Kyoto, JAPAN Conference dates 2007/06/26 - 2007/06/29 Title of proceedings NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS Editor(s) Okuno, H. G. Ali, M. Publication date 2007 Series Lecture Notes in Artificial Intelligence Start page 1098 End page 1107 Total pages 10 Publisher SPRINGER-VERLAG BERLIN Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science heuristics agent-based systems artificial intelligence ISBN 9783540733225 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-540-73325-6_110 Field of Research 08 Information And Computing Sciences HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30112250 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 09 Aug 2018, 11:28:22 EST Thu, 09 Aug 2018, 13:33:29 EST Thu, 09 Aug 2018, 13:42:08 EST Thu, 30 Aug 2018, 12:26:54 EST Thu, 30 Aug 2018, 12:48:48 EST Thu, 30 Aug 2018, 12:50:55 EST Thu, 30 Aug 2018, 12:53:15 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 72 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 09 Aug 2018, 11:28:22 EST

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