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  • Search: subject:"programming: integer algorithms"
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programming: integer algorithms 37 branch and bound 11 heuristic 8 production/scheduling 4 applications 3 heuristics 3 production/scheduling: line balancing 3 programming: integer 3 Algorithm 2 Algorithmus 2 Mathematical programming 2 Mathematische Optimierung 2 Theorie 2 Theory 2 cutting planes 2 enumerative 2 facilities/equipment planning: location 2 networks/graphs: applications 2 programming: integer algorithm branch and bound 2 programming: nonlinear 2 Decision 1 Decomposition method 1 Dekompositionsverfahren 1 Entscheidung 1 Ganzzahlige Optimierung 1 Integer programming 1 Research and Development: project selection 1 Tourenplanung 1 Vehicle routing problem 1 algorithm tests 1 algorithms 1 branch and bound/dynamic programming 1 computational complexity 1 design 1 deterministic 1 dynamic discretization discovery 1 finance 1 finance: capital budgeting 1 heuristic facilities/equipment planning: location 1 heuristic: greedy 1
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Undetermined 39
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Article 39
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Article in journal 2 Aufsatz in Zeitschrift 2
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Undetermined 37 English 2
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Fisher, Marshall L. 4 Talbot, F. Brian 3 Zoltners, Andris A. 3 Granot, Frieda 2 Sinha, Prabhakant 2 Akinc, Umit 1 Armstrong, Ronald D. 1 Bagchi, Uttarayan 1 Bagga, P. C. 1 Balas, Egon 1 Baldacci, Roberto 1 Bergman, David 1 Billington, Peter J. 1 Bitran, Gabriel R. 1 Cabot, A. Victor 1 Chandru, Vijaya 1 Chang, Yih-Long 1 Chong, Philip S. C. 1 Cornuejols, Gerard 1 Dannenbring, David G. 1 Dogramaci, Ali 1 Drezner, Zvi 1 Dwyer, F. Robert 1 E. G. Coffman, Jr. 1 Erenguc, S. Selcuk 1 Erlenkotter, Donald 1 Evans, James R. 1 Fielitz, Bruce D. 1 Granot, Daniel 1 Guignard, Monique 1 Gupta, Omprakash K. 1 Gupta, Sushil K. 1 Haessler, Robert W. 1 Holm, Sören 1 Kallberg, Jerry 1 Kalra, K. R. 1 Kan, A. H. G. Rinnooy 1 Khumawala, Basheer M. 1 Klein, Dieter 1 Lee, Jae Sik 1
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Management Science 37 INFORMS journal on computing : JOC 1 Transportation science 1
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RePEc 37 ECONIS (ZBW) 2
Showing 1 - 10 of 39
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Incorporating holding costs in continuous-time service network design : new model, relaxation, and exact algorithm
Shu, Shengnan; Xu, Zhou; Baldacci, Roberto - In: Transportation science 58 (2024) 2, pp. 412-433
Persistent link: https://www.econbiz.de/10014527145
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Decision diagram decomposition for quadratically constrained binary optimization
Bergman, David; Lozano, Leonardo - In: INFORMS journal on computing : JOC 33 (2021) 1, pp. 401-418
Persistent link: https://www.econbiz.de/10012496448
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The Lagrangian Relaxation Method for Solving Integer Programming Problems
Fisher, Marshall L. - In: Management Science 50 (2004) 12_supplement, pp. 1861-1871
(This article originally appeared in Management Science, January 1981, Volume 27, Number 1, pp. 1--18, published by The Institute of Management Sciences.) One of the most computationally useful ideas of the 1970s is the observation that many hard integer programming problems can be viewed as...
Persistent link: https://www.econbiz.de/10009197346
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Asymptotic Methods in the Probabilistic Analysis of Sequencing and Packing Heuristics
E. G. Coffman, Jr.; Lueker, G. S.; Kan, A. H. G. Rinnooy - In: Management Science 34 (1988) 3, pp. 266-290
Recently there has been considerable interest in the average-case performance of heuristics. This paper pursues that interest, where it concerns sequencing and packing problems. In particular, we survey the methods that have been used to obtain formal probabilistic analyses of heuristics for...
Persistent link: https://www.econbiz.de/10009191667
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Note---An Approximate Algorithm for Multidimensional Zero-One Knapsack Problems---A Parametric Approach
Lee, Jae Sik; Guignard, Monique - In: Management Science 34 (1988) 3, pp. 402-410
A new approximate algorithm for multidimensional zero-one knapsack problems with all positive coefficients is presented. The procedure is controlled by three parameters which affect the tradeoff between solution quality and computation time and whose values are set by the users. For 48 test...
Persistent link: https://www.econbiz.de/10009214435
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Minimizing Mean Squared Deviation of Completion Times About a Common Due Date
Bagchi, Uttarayan; Sullivan, Robert S.; Chang, Yih-Long - In: Management Science 33 (1987) 7, pp. 894-906
This paper addresses a nonpreemptive single machine scheduling problem where all jobs have a common due date and have zero ready time. The scheduling objective is to minimize mean squared deviation (MSD) of job completion times about the due date. This nonregular measure of performance is...
Persistent link: https://www.econbiz.de/10009209188
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A Survey of Exact Algorithms for the Simple Assembly Line Balancing Problem
\.Ilker Baybars - In: Management Science 32 (1986) 8, pp. 909-932
In this survey paper we discuss the development of the simple assembly line balancing problem (SALBP); modifications and generalizations over time; present alternate 0-1 programming formulations and a general integer programming formulation of the problem; discuss other well-known problems...
Persistent link: https://www.econbiz.de/10009191539
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Heuristics for Multilevel Lot-Sizing with a Bottleneck
Billington, Peter J.; McClain, John O.; Thomas, L. Joseph - In: Management Science 32 (1986) 8, pp. 989-1006
In this paper we present a heuristic method, based on Lagrangian relaxation, for multilevel lot-sizing when there is a single bottleneck facility. A series of Lagrangian relaxations (one for each item in the product structure) is imbedded in a branch and bound procedure. The objective is to find...
Persistent link: https://www.econbiz.de/10009203846
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Improved Penalties for Fixed Cost Linear Programs Using Lagrangean Relaxation
Cabot, A. Victor; Erenguc, S. Selcuk - In: Management Science 32 (1986) 7, pp. 856-869
The most commonly used penalty in branch and bound approaches to integer programming is the Driebeek--Tomlin penalty. It has been used successfully in solving fixed cost linear programs by Kennington and Unger and by Barr, Glover and Klingman. It is well known that the Driebeek--Tomlin penalty...
Persistent link: https://www.econbiz.de/10009218041
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Branch and Bound Experiments in Convex Nonlinear Integer Programming
Gupta, Omprakash K.; Ravindran, A. - In: Management Science 31 (1985) 12, pp. 1533-1546
The branch and bound principle has long been established as an effective computational tool for solving mixed integer linear programming problems. This paper investigates the computational feasibility of branch and bound methods in solving convex nonlinear integer programming problems. The...
Persistent link: https://www.econbiz.de/10009191202
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