Literatura científica selecionada sobre o tema "Integer programming"

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Artigos de revistas sobre o assunto "Integer programming"

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Wampler, Joe F., and Stephen E. Newman. "Integer Programming." College Mathematics Journal 27, no. 2 (1996): 95. http://dx.doi.org/10.2307/2687396.

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Wampler, Joe F., and Stephen E. Newman. "Integer Programming." College Mathematics Journal 27, no. 2 (1996): 95–100. http://dx.doi.org/10.1080/07468342.1996.11973758.

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Cornu�jols, G�rard, and William R. Pulleyblank. "Integer programming." Mathematical Programming 98, no. 1-3 (2003): 1–2. http://dx.doi.org/10.1007/s10107-003-0417-3.

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Kara, Imdat, and Halil Ibrahim Karakas. "Integer Programming Formulations For The Frobenius Problem." International Journal of Pure Mathematics 8 (December 28, 2021): 60–65. http://dx.doi.org/10.46300/91019.2021.8.8.

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The Frobenius number of a set of relatively prime positive integers α1,α2,…,αn such that α1< α2< …< αn, is the largest integer that can not be written as a nonnegative integer linear combination of the given set. Finding the Frobenius number is known as the Frobenius problem, which is also named as the coin exchange problem or the postage stamp problem. This problem is closely related with the equality constrained integer knapsack problem. It is known that this problem is NP-hard. Extensive research has been conducted for finding the Frobenius number of a given set of positive integer
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Freire, Alexandre S., Eduardo Moreno, and Juan Pablo Vielma. "An integer linear programming approach for bilinear integer programming." Operations Research Letters 40, no. 2 (2012): 74–77. http://dx.doi.org/10.1016/j.orl.2011.12.004.

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He, Deng Xu, and Liang Dong Qu. "Population Migration Algorithm for Integer Programming and its Application in Cutting Stock Problem." Advanced Materials Research 143-144 (October 2010): 899–904. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.899.

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For integer programming, there exist some difficulties and problems for the direct applications of population migration algorithm (PMA) due to the variables belonging to the set of integers. In this paper, a novel PMA is proposed for integer programming which evolves on the set of integer space. Several functions and cutting stock problem simulation results show that the proposed algorithm is significantly superior to other algorithms.
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Gomory, Ralph E. "Early Integer Programming." Operations Research 50, no. 1 (2002): 78–81. http://dx.doi.org/10.1287/opre.50.1.78.17793.

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Feautrier, Paul. "Parametric integer programming." RAIRO - Operations Research 22, no. 3 (1988): 243–68. http://dx.doi.org/10.1051/ro/1988220302431.

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Lee, Jon, and Adam N. Letchford. "Mixed integer programming." Discrete Optimization 4, no. 1 (2007): 1–2. http://dx.doi.org/10.1016/j.disopt.2006.10.005.

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Onn, Shmuel. "Robust integer programming." Operations Research Letters 42, no. 8 (2014): 558–60. http://dx.doi.org/10.1016/j.orl.2014.10.002.

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Teses / dissertações sobre o assunto "Integer programming"

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Achterberg, Tobias. "Constraint integer programming /." München : Verl. Dr. Hut, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017108806&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Achterberg, Tobias. "Constraint integer programming." München Verl. Dr. Hut, 2007. http://d-nb.info/992163366/04.

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Hewitt, Michael R. "Integer programming based search." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31641.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Erera, Martin; Committee Chair: Nemhauser, George; Committee Chair: Savelsbergh, Martin; Committee Member: Ergun, Ozlem; Committee Member: Ferguson, Mark. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Vigerske, Stefan. "Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16704.

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Diese Arbeit leistet Beiträge zu zwei Gebieten der mathematischen Programmierung: stochastische Optimierung und gemischt-ganzzahlige nichtlineare Optimierung (MINLP). Im ersten Teil erweitern wir quantitative Stetigkeitsresultate für zweistufige stochastische gemischt-ganzzahlige lineare Programme auf Situationen in denen Unsicherheit gleichzeitig in den Kosten und der rechten Seite auftritt, geben eine ausführliche Übersicht zu Dekompositionsverfahren für zwei- und mehrstufige stochastische lineare und gemischt-ganzzahlig lineare Programme, und diskutieren Erweiterungen und Kombinationen d
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Shmonin, Gennady. "Parameterised integer programming, integer cones, and related problems." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985786132.

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Espinoza, Daniel G. "On Linear Programming, Integer Programming and Cutting Planes." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10482.

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In this thesis we address three related topic in the field of Operations Research. Firstly we discuss the problems and limitation of most common solvers for linear programming, precision. We then present a solver that generate rational optimal solutions to linear programming problems by solving a succession of (increasingly more precise) floating point approximations of the original rational problem until the rational optimality conditions are achieved. This method is shown to be (on average) only 20% slower than the common pure floating point approach, while returning true optimal solutions
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Hooker, Kevin J. "Hypergraphs and integer programming polytopes /." Search for this dissertation online, 2005. http://wwwlib.umi.com/cr/ksu/main.

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Chandrasekaran, Karthekeyan. "New approaches to integer programming." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44814.

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Integer Programming (IP) is a powerful and widely-used formulation for combinatorial problems. The study of IP over the past several decades has led to fascinating theoretical developments, and has improved our ability to solve discrete optimization problems arising in practice. This thesis makes progress on algorithmic solutions for IP by building on combinatorial, geometric and Linear Programming (LP) approaches. We use a combinatorial approach to give an approximation algorithm for the feedback vertex set problem (FVS) in a recently developed Implicit Hitting Set framework. Our algorithm
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Mefo, Kue Floriane. "Mixed integer bilevel programming problems." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2017. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-230335.

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This thesis presents the mixed integer bilevel programming problems where some optimality conditions and solution algorithms are derived. Bilevel programming problems are optimization problems which are partly constrained by another optimization problem. The theoretical part of this dissertation is mainly based on the investigation of optimality conditions of mixed integer bilevel program. Taking into account both approaches (optimistic and pessimistic) which have been developed in the literature to deal with this type of problem, we derive some conditions for the existence of solutions. Afte
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Evans, G. M. "Parallel and distributed integer programming." Thesis, University of East Anglia, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267706.

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Livros sobre o assunto "Integer programming"

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Walukiewicz, Stanisław. Integer Programming. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7945-2.

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Conforti, Michele, Gérard Cornuéjols, and Giacomo Zambelli. Integer Programming. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11008-0.

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Garfinkel, Robert S. Integer programming. Dover Publications, Inc., 2009.

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Walukiewicz, Stanisław. Integer programming. Kluwer Academic Publishers, 1991.

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Walukiewicz, Stanisław. Integer Programming. Springer Netherlands, 1991.

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Chen, Der-San, Robert G. Batson, and Yu Dang. Applied Integer Programming. John Wiley & Sons, Inc., 2009. http://dx.doi.org/10.1002/9781118166000.

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Achterberg, Tobias. Constraint integer programming. Verl. Dr. Hut, 2007.

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Milano, Michela, ed. Constraint and Integer Programming. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8917-8.

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Lee, Jon, and Sven Leyffer, eds. Mixed Integer Nonlinear Programming. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1927-3.

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Lee, Jon, and Sven Leyffer. Mixed integer nonlinear programming. Springer, 2012.

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Capítulos de livros sobre o assunto "Integer programming"

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Walukiewicz, Stanisław. "Linear Programming." In Integer Programming. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7945-2_2.

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Poler, Raúl, Josefa Mula, and Manuel Díaz-Madroñero. "Integer Programming." In Operations Research Problems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5577-5_2.

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Bosch, Robert, and Michael Trick. "Integer Programming." In Search Methodologies. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6940-7_3.

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Vanderbei, Robert J. "Integer Programming." In International Series in Operations Research & Management Science. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74388-2_23.

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Bard, Jonathan F. "Integer Programming." In Nonconvex Optimization and Its Applications. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2836-1_3.

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Korte, Bernhard, and Jens Vygen. "Integer Programming." In Algorithms and Combinatorics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24488-9_5.

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Awange, Joseph L., Béla Paláncz, Robert H. Lewis, and Lajos Völgyesi. "Integer Programming." In Mathematical Geosciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67371-4_7.

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Vanderbei, Robert J. "Integer Programming." In International Series in Operations Research & Management Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39415-8_23.

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Korte, Bernhard, and Jens Vygen. "Integer Programming." In Algorithms and Combinatorics. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-21708-5_5.

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Korte, Bernhard, and Jens Vygen. "Integer Programming." In Algorithms and Combinatorics. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-21711-5_5.

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Trabalhos de conferências sobre o assunto "Integer programming"

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Arnow, David, Ken McAloon, and Carol Tretkoff. "Parallel integer goal programming." In the 1995 ACM 23rd annual conference. ACM Press, 1995. http://dx.doi.org/10.1145/259526.259536.

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Deng, Changshou, Bingyan Zhao, Yanlin Yang, and Anyuan Deng. "Integer Encoding Differential Evolution Algorithm for Integer Programming." In 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS). IEEE, 2010. http://dx.doi.org/10.1109/iciecs.2010.5677899.

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Steffy, Daniel E. "Exact linear and integer programming." In the 38th international symposium. ACM Press, 2013. http://dx.doi.org/10.1145/2465506.2465931.

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Nguyen, Bao, and Ramzi Mirshak. "Optimal fleet scheduling integer programming." In OCEANS 2016 MTS/IEEE Monterey. IEEE, 2016. http://dx.doi.org/10.1109/oceans.2016.7761037.

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Wonka, Peter. "Integer programming for layout problems." In SA '18: SIGGRAPH Asia 2018. ACM, 2018. http://dx.doi.org/10.1145/3277644.3277794.

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Megerian, S., M. Drinic, and M. Potkonjak. "Watermarking integer linear programming solutions." In Proceedings of 39th Design Automation Conference. IEEE, 2002. http://dx.doi.org/10.1109/dac.2002.1012585.

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Megerian, Seapahn, Milenko Drinic, and Miodrag Potkonjak. "Watermarking integer linear programming solutions." In the 39th conference. ACM Press, 2002. http://dx.doi.org/10.1145/513918.513923.

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Khoat, Than Quang. "On the bounded integer programming." In 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies. IEEE, 2008. http://dx.doi.org/10.1109/rivf.2008.4586328.

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Zarate, David Cheng, Pierre Le Bodic, Tim Dwyer, Graeme Gange, and Peter Stuckey. "Optimal Sankey Diagrams Via Integer Programming." In 2018 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2018. http://dx.doi.org/10.1109/pacificvis.2018.00025.

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Li, Yuying, Lixiang Li, Qiaoyan Wen, and Yixian Yang. "Integer Programming via Chaotic Ant Swarm." In Third International Conference on Natural Computation (ICNC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icnc.2007.444.

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Relatórios de organizações sobre o assunto "Integer programming"

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Bixby, Robert E. Linear Programming Tools for Integer Programming. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219013.

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Bixby, Robert. Linear-Programming Tools in Integer Programming: The Traveling Salesman. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada261398.

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Terlaky, Tamas. Mixed-Integer Conic Linear Programming: Challenges and Perspectives. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590477.

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Takkala, Rohit Reddy. CHIP: Clustering hotspots in layout using integer programming. Iowa State University, 2018. http://dx.doi.org/10.31274/cc-20240624-357.

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Prokopyev, Oleg A. New Theory and Methods in Stochastic Mixed Integer Programming. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada610045.

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Nemhauser, George L. Application of Mixed-Integer Programming to Selected Military Problems. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada276197.

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Barati, Masoud, and Santiago Grijalva. Tightest Mixed-Integer Programming Formulations for Quadratic SCUC Optimization. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2565427.

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Saltzman, Robert M. A Heuristic Ceiling Point Algorithm for General Integer Linear Programming. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202285.

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Saltzman, Robert M., and Frederick S. Hillier. An Exact Ceiling Point Algorithm for General Integer Linear Programming. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202286.

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Bixby, Robert E., E. A. Boyd, and Ronni R. Indovina. A Test Set of Real-World Mixed Integer Programming Problems. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada455431.

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