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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14429
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dc.contributor.authorMohammad M. Amini-
dc.contributor.authorMichael Racer-
dc.date.accessioned2024-03-02T06:27:44Z-
dc.date.available2024-03-02T06:27:44Z-
dc.date.issued1994-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14429-
dc.description.abstractStatistical experimental design and analysis is a cornerstone for scientific inquiry that is rarely applied in reporting computational testing. This approach is employed to study the relative performance characteristics of the four leading algorithmic and heuristic alternatives to solve the Linear Cost Generalized Assignment Problem (LCGAP) against a newly developed heuristic, Variable-Depth Search Heuristic (VDSH).-
dc.publisherJournal of the Institute of Management Sciences-
dc.subjectleading algorithmic and heuristic alternatives-
dc.subjectheuristic-
dc.subjectVariable-Depth Search Heuristic (VDSH).-
dc.titleA Rigorous Computational Comparison of Alternative Solution Methods for the Generalized Assignment Problem-
dc.volVol. 40-
dc.issuedNo. 7-
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