Academic literature on the topic 'Search problems'
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Journal articles on the topic "Search problems"
Ryan, J. D., Rudolf Ahlswede, and Ingold Wegener. "Search Problems." Journal of the Operational Research Society 39, no. 10 (October 1988): 977. http://dx.doi.org/10.2307/2583050.
Full textDykstra, Richard, Rudolph Ahlswede, Ingo Wegener, and Jean E. Wotschke. "Search Problems." Journal of the American Statistical Association 84, no. 406 (June 1989): 627. http://dx.doi.org/10.2307/2289975.
Full textRyan, J. D. "Search Problems." Journal of the Operational Research Society 39, no. 10 (October 1988): 977–78. http://dx.doi.org/10.1057/jors.1988.165.
Full textCannings, C., R. Ahlswede, and I. Wegener. "Search Problems." Statistician 37, no. 4/5 (1988): 483. http://dx.doi.org/10.2307/2348782.
Full textKummer, Martin, and Frank Stephan. "Effective Search Problems." Mathematical Logic Quarterly 40, no. 2 (1994): 224–36. http://dx.doi.org/10.1002/malq.19940400209.
Full textLunegov, S. V., and N. N. Petrov. "Search Problems on Graphs." IFAC Proceedings Volumes 34, no. 6 (July 2001): 969–71. http://dx.doi.org/10.1016/s1474-6670(17)35307-7.
Full textHinderer, Karl, and Michael Stieglitz. "On polychotomous search problems." European Journal of Operational Research 73, no. 2 (March 1994): 279–94. http://dx.doi.org/10.1016/0377-2217(94)90265-8.
Full textAigner, M. "Search problems on graphs." Discrete Applied Mathematics 14, no. 3 (July 1986): 215–30. http://dx.doi.org/10.1016/0166-218x(86)90026-0.
Full textNeledva, N., and S. Linenko. "GENERAL PROBLEMS OF SUSPECT SEARCH." “International Humanitarian University Herald. Jurisprudence”, no. 50 (2021): 100–103. http://dx.doi.org/10.32841/2307-1745.2021.50.21.
Full textPrough, Donald S., and Mark H. Zornow. "Solutions in search of problems." Critical Care Medicine 24, no. 7 (July 1996): 1104–5. http://dx.doi.org/10.1097/00003246-199607000-00006.
Full textDissertations / Theses on the topic "Search problems"
Lim, Wei Shi. "Problems in rendezvous search." Thesis, London School of Economics and Political Science (University of London), 1996. http://etheses.lse.ac.uk/2457/.
Full textBlack, Daniel Peter. "Search in weighted constraint satisfaction problems." Thesis, University of Leeds, 2003. http://etheses.whiterose.ac.uk/1309/.
Full textArbelaez, Rodriguez Alejandro. "Learning during search." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00600523.
Full textKorneffel, Torsten. "On combinatorial search problems which involve graphs." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=984062386.
Full textVoudouris, Christos. "Guided local search for combinatorial optimisation problems." Thesis, University of Essex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361019.
Full textMarett, Richard Colin. "Neighbourhood search techniques for multi-objective combinatorial problems." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296889.
Full textZahrani, Mohammed Saeed. "Genetic local search algorithms for selected graph problems." Thesis, University of Hertfordshire, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440188.
Full textLamprou, I. "Mobility problems in distributed search and combinatorial games." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3028459/.
Full textLopez, Soto Claudia Orquidea. "Formulation space search for two-dimensional packing problems." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7455.
Full textBuljubasic, Mirsad. "Efficient local search for several combinatorial optimization problems." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS010/document.
Full textThis Ph.D. thesis concerns algorithms for Combinatorial Optimization Problems. In Combinatorial Optimization Problems the set of feasible solutions is discrete or can be reduced to a discrete one, and the goal is to find the best possible solution. Specifically, in this research we consider three different problems in the field of Combinatorial Optimization including One-dimensional Bin Packing (and two similar problems), Machine Reassignment Problem and Rolling Stock Problem. The first one is a classical and well known optimization problem, while the other two are real world and very large scale problems arising in industry and have been recently proposed by Google and French Railways (SNCF) respectively. For each problem we propose a local search based heuristic algorithm and we compare our results with the best known results in the literature. Additionally, as an introduction to local search methods, two metaheuristic approaches, GRASP and Tabu Search are explained through a computational study on Set Covering Problem
Books on the topic "Search problems"
Ahlswede, Rudolf. Search problems. Chichester [West Sussex]: Wiley, 1987.
Find full textSearch problems. Chichester: Wiley, 1987.
Find full textKearfott, R. Baker. Rigorous global search: Continuous problems. Dordrecht: Kluwer Academic Publishers, 1996.
Find full textKearfott, R. Baker. Rigorous Global Search: Continuous Problems. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2495-0.
Full textWassenhove, Luk N. van. Statistical search methods for lotsizing problems. Fontainebleau: INSEAD, 1992.
Find full textFischer, S. T. The solution sets of local search problems. Amsterdam: [S. n.], 1995.
Find full textBarlevy, Gadi. Identification of search models with initial condition problems. Chicago, Ill.]: Federal Reserve Bank of Chicago, 2006.
Find full textBarlevy, Gadi. Identification of search models with initial condition problems. Bonn, Germany: IZA, 2006.
Find full textBarlevy, Gadi. Identification of search models with initial condition problems. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textKurt, Cylke F., ed. Social problems--the search for solutions: An anthology. Los Angeles, Calif: Roxbury Pub. Co., 1994.
Find full textBook chapters on the topic "Search problems"
Izadkhah, Habib. "Search." In Problems on Algorithms, 269–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17043-0_8.
Full textHazay, Carmit, and Yehuda Lindell. "Search Problems." In Efficient Secure Two-Party Protocols, 227–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14303-8_9.
Full textGhédira, Khaled, and Bernard Dubuisson. "Search Heuristics." In Constraint Satisfaction Problems, 99–120. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574522.ch4.
Full textMaier, Gunther. "Tractable Spatial Search Problems." In Spatial Search, 99–137. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-642-49346-1_5.
Full textSpirtes, Peter, Clark Glymour, and Richard Scheines. "Open Problems." In Causation, Prediction, and Search, 354–66. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-2748-9_12.
Full textFokkink, Robbert, Leonhard Geupel, and Kensaku Kikuta. "Open Problems on Search Games." In Search Theory, 75–81. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6825-7_5.
Full textAlpern, Steve. "Ten Open Problems in Rendezvous Search." In Search Theory, 223–30. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6825-7_14.
Full textBattiti, Roberto, Franco Mascia, and Mauro Brunato. "Open Problems." In Reactive Search and Intelligent Optimization, 1–3. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09624-7_13.
Full textKöbler, Johannes, Uwe Schöning, and Jacobo Torán. "Decision Problems, Search Problems, and Counting Problems." In The Graph Isomorphism Problem, 11–50. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4612-0333-9_3.
Full textPitchford, Jon. "Applications of Search in Biology: Some Open Problems." In Search Theory, 295–303. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6825-7_18.
Full textConference papers on the topic "Search problems"
Croft, W. Bruce. "Unsolved problems in search." In Proceeding of the 17th ACM conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1458082.1458085.
Full textSteitz, Wolfgang, and Franz Rothlauf. "Solving OCST problems with problem-specific guided local search." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830541.
Full textBeimel, Amos, Paz Carmi, Kobbi Nissim, and Enav Weinreb. "Private approximation of search problems." In the thirty-eighth annual ACM symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1132516.1132533.
Full textHatamlou, Abdolreza, Salwani Abdullah, and Zalinda Othman. "Gravitational search algorithm with heuristic search for clustering problems." In 2011 3rd Conference on Data Mining and Optimization (DMO). IEEE, 2011. http://dx.doi.org/10.1109/dmo.2011.5976526.
Full textNatalia, Bakhtadze,. "Associative Search Models in Power Grids." In Information Control Problems in Manufacturing, edited by Bakhtadze, Natalia, Chair Dolgui, Alexandre and Bakhtadze, Natalia. Elsevier, 2009. http://dx.doi.org/10.3182/20090603-3-ru-2001.00286.
Full textDeb, Suash, Simon Fong, and Zhonghuan Tian. "Elephant Search Algorithm for optimization problems." In 2015 Tenth International Conference on Digital Information Management (ICDIM). IEEE, 2015. http://dx.doi.org/10.1109/icdim.2015.7381893.
Full textNG, MICHAEL K. "CLUSTERING PROBLEMS USING TABU SEARCH TECHNIQUES." In Proceedings of the International Conference on Inverse Problems. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704924_0034.
Full textMacià, Núria, Albert Orriols-Puig, and Ester Bernadó-Mansilla. "In search of targeted-complexity problems." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830674.
Full textJing, Wang, Jiang Wei, Cao Liulin, Jin Qibing, and Wang Wei. "A dynamical search space harmony search for unconstrained optimization problems." In 2013 9th Asian Control Conference (ASCC). IEEE, 2013. http://dx.doi.org/10.1109/ascc.2013.6606037.
Full textThoma, U. "The search for missing baryon resonances." In FEW-BODY PROBLEMS IN PHYSICS: The 19th European Conference on Few-Body Problems in Physics. AIP, 2005. http://dx.doi.org/10.1063/1.1932910.
Full textReports on the topic "Search problems"
Bolonkin, Alexander A., and James R. Cloutier. Search, Observation, and Attack Problems. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada410927.
Full textBowman, Jason, and Jeff Dubois. Probability-Of-Opportunity for Airborne Search Problems. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada491403.
Full textWashburn, Alan R. Branch and Bound Methods for Search Problems. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada294522.
Full textBarlevy, Gadi, and H. N. Nagaraja. Identification of Search Models with Initial Condition Problems. Cambridge, MA: National Bureau of Economic Research, April 2006. http://dx.doi.org/10.3386/w12166.
Full textAbramson, Mark A., Charles Audet, Jr Dennis, and J. E. Filter Pattern Search Algorithms for Mixed Variable Constrained Optimization Problems. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada445031.
Full textHough, P. D. Stable computation of search directions for near-degenerate linear programming problems. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/477537.
Full textHomaifar, Abdollah, Albert Esterline, and Bahram Kimiaghalam. Hybrid Projected Gradient-Evolutionary Search Algorithm for Mixed Integer Nonlinear Optimization Problems. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada455904.
Full textSamji, Salimah, and Mansi Kapoor. Funda Wande through the Lens of PDIA: Showcasing a Flexible and Iterative Learning Approach to Improving Educational Outcomes. Research on Improving Systems of Education (RISE), January 2022. http://dx.doi.org/10.35489/bsg-rise-ri_2022/036.
Full textShing, Man-Tak, and Michael M. Mayer. Persistence Search - A New Search Strategy for the Dynamic Shortest Path Problem. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada238741.
Full textPforr, Tobias, Fabian Pape, and Steffen Murau. After the Allocation: What Role for the Special Drawing Rights System? Institute for New Economic Thinking Working Paper Series, March 2022. http://dx.doi.org/10.36687/inetwp180.
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