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Greedy Randomized Adaptive Search for a Location Problem with Economies of Scale
Division of Optimization, Department of Mathematics, Linköping Institute of Technology.
Division of Optimization, Department of Mathematics, Linköping Institute of Technology.
Department of Industrial and Systems Engineering, Center for Applied Optimization, University of Florida, Center for Applied Optimization and Department of Industrial and Systems Engineering, University of Florida, Gainesville.
1997 (English)In: Developments in Global Optimization: [Third Workshop on Global Optimization, Szeged, Hungary, December 10 - 14, 1995] / [ed] Immanuel M. Bromze; Tibor Csendes ; Reiner Horst; PAnos M. Pardalos, Dordrecht: Kluwer Academic Publishers, 1997, 301-313 p.Conference paper (Refereed)
Abstract [en]

We consider a heuristic approach for the solution of a location problem with economies of scale. The method chosen has a strong intuitive appeal, a prominent empirical track record, and is trivial to efficiently implement on parallel processors. We define the various components comprising this GRASP approach and perform a step-by-step development of such a heuristic for the location problem with concave costs. Computational results for problems of dimensions up to 100 × 1000 are reported.

Place, publisher, year, edition, pages
Dordrecht: Kluwer Academic Publishers, 1997. 301-313 p.
Series
, Nonconvex Optimization and Its Applications, ISSN 1571-568X ; 18
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-35709DOI: 10.1007/978-1-4757-2600-8_18Local ID: a5c4ee2b-e2b0-49f1-9787-7cf4f95e877bISBN: 792343514OAI: oai:DiVA.org:ltu-35709DiVA: diva2:1008962
Conference
Workshop on Global Optimization : 10/12/1995 - 14/12/1995
Note
Upprättat; 1997; 20150609 (andbra)Available from: 2016-09-30 Created: 2016-09-30

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Migdalas, Athanasios

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ReferencesLink to record
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