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Journal of the Operational Research Society Volume 55, 2004 - Issue 7
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Part Special Issue

Local search heuristics for multi-index assignment problems with decomposable costs

H-J BandeltUniversität HamburgHamburgGermany
,
A MaasMaastricht UniversityThe Netherlands
&
F C R SpieksmaKatholieke Universiteit LeuvenLeuvenBelgiumCorrespondence[email protected]
Pages 694-704 | Received 01 Sep 2002, Accepted 01 Jan 2004, Published online: 21 Dec 2017

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David Degras. (2023) Scalable Feature Matching Across Large Data Collections. Journal of Computational and Graphical Statistics 32:1, pages 196-212.
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MatthiasH.Y. Tan & C. F. Jeff Wu. (2012) Generalized selective assembly. IIE Transactions 44:1, pages 27-42.
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Articles from other publishers (16)

Samhita Vadrevu & Rakesh Nagi. (2023) A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional Assignment Problem in a Multitarget Tracking Application. IEEE Transactions on Automation Science and Engineering 20:3, pages 1706-1720.
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Tobias Sprodowski, Marit Hoff-Hoffmeyer-Zlotnik & Michael Freitag. (2023) Dimension reduction for a multi-resource general assignment problem by decomposable costs for a vehicle compound. IFAC-PapersOnLine 56:2, pages 11148-11153.
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Shardul Natu, Ketan Date & Rakesh Nagi. (2020) GPU-accelerated Lagrangian heuristic for multidimensional assignment problems with decomposable costs. Parallel Computing 97, pages 102666.
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Virginia M. Miori, Nicolle Clements & Brian W. Segulin. (2019) Heuristic Approach to Temporal Assignments of Spatial Grid Points for Vegetation Monitoring. International Journal of Strategic Decision Sciences 10:3, pages 1-19.
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Olivia Reynen, Samhita Vadrevu, Rakesh Nagi & Keith LeGrand. (2019) Large-scale Multi-dimensional Assignment: Problem Formulations and GPU Accelerated Solutions. Large-scale Multi-dimensional Assignment: Problem Formulations and GPU Accelerated Solutions.
Gregory Tauer, Ketan Date, Rakesh Nagi & Moises Sudit. (2019) An incremental graph-partitioning algorithm for entity resolution. Information Fusion 46, pages 171-183.
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Andrei Soeanu, Sujoy Ray, Jean Berger & Mourad Debbabi. (2018) Efficient sensor network management for asset localization. Computers & Operations Research 99, pages 148-165.
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Gunther Koliander, Dominic Schuhmacher & Franz Hlawatsch. (2018) Rate-Distortion Theory of Finite Point Processes. IEEE Transactions on Information Theory 64:8, pages 5832-5861.
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Jose L. Walteros, Chrysafis Vogiatzis, Eduardo L. Pasiliao & Panos M. Pardalos. (2014) Integer programming models for the multidimensional assignment problem with star costs. European Journal of Operational Research 235:3, pages 553-568.
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Duc Manh Nguyen, Hoai An Le Thi & Tao Pham Dinh. (2012) Solving the Multidimensional Assignment Problem by a Cross-Entropy method. Journal of Combinatorial Optimization 27:4, pages 808-823.
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Virginia M. Miori. (2014) The Pollyanna Problem. International Journal of Business Intelligence Research 5:1, pages 1-12.
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Gregory Tauer & Rakesh Nagi. (2013) A map-reduce lagrangian heuristic for multidimensional assignment problems with decomposable costs. Parallel Computing 39:11, pages 653-668.
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Gregory Tauer, Rakesh Nagi & Moises Sudit. (2013) The graph association problem: Mathematical models and a lagrangian heuristic. Naval Research Logistics (NRL) 60:3, pages 251-268.
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Daniel KarapetyanGregory Gutin. (2011) A New Approach to Population Sizing for Memetic Algorithms: A Case Study for the Multidimensional Assignment Problem. Evolutionary Computation 19:3, pages 345-371.
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Daniel Karapetyan & Gregory Gutin. (2010) Local search heuristics for the multidimensional assignment problem. Journal of Heuristics 17:3, pages 201-249.
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Yusuke Kuroki & Tomomi Matsui. (2009) An approximation algorithm for multidimensional assignment problems minimizing the sum of squared errors. Discrete Applied Mathematics 157:9, pages 2124-2135.
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