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Books on the topic 'Heuristics methods'

Author: Grafiati

Published: 30 May 2022

Last updated: 25 July 2025

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1

Rabadi, Ghaith, ed. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26024-2.

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2

United States. National Aeronautics and Space Administration., ed. An empirical comparison of seven iterative and evolutionary function optimization heuristics. National Aeronautics and Space Administration, 1995.

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3

J, Rayward-Smith V., ed. Modern heuristic search methods. Wiley, 1996.

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4

Lewis, John N. Expert systems development utilizing heuristic methods. Naval Postgraduate School, 1996.

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5

Martí, Rafael, and Gerhard Reinelt. Exact and Heuristic Methods in Combinatorial Optimization. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64877-3.

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6

Paolo, Frasconi, Shamir Ron, and NATO Advanced Study Institute on Artificial Intelligence and Heuristic Methods in Bioinformatics (2001 : San Miniato, Italy), eds. Artificial intelligence and heuristic methods in bioinformatics. IOS Press, 2003.

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7

Eggen, Loren G. Approximating the chromatic number of an arbitrary graph using a supergraph heuristic. Naval Postgraduate School, 1997.

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8

Nicol, David M. A multistage linear array assignment problem. ICASE, 1988.

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9

Roos, N. TUD Faculty of Technical Mathematics and Informatics: Heuristic reasoning. National Aerospace Laboratory, 1988.

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10

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Formal and heuristic system decomposition methods in multidisciplinary synthesis. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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11

Mahtani, Pravesh. Heuristic methods for backup lightpath routing in WDM networks. National Library of Canada, 2001.

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12

Lebak, James M. Toward a portable parallel library for space-time adaptive methods. Cornell Theory Center, Cornell University, 1996.

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13

Nagy, Gabor. Heuristic methods for the many-to-many location-routing problem. University of Birmingham, 1996.

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14

D, Simon Horst, Tang Wei-Pai, and Research Institute for Advanced Computer Science (U.S.), eds. Spectral ordering techniques for incomplete LU preconditioners for CG methods. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1995.

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15

Gerhard, Reinelt, and SpringerLink (Online service), eds. The Linear Ordering Problem: Exact and Heuristic Methods in Combinatorial Optimization. Springer-Verlag Berlin Heidelberg, 2011.

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16

Facione, Peter A. Thinking and reasoning in human decision making: The method of argument and heuristic analysis. California Academic Press, 2007.

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17

Khan, Shamresh. Heuristic search methods for the vehicle routing problem with the time windows. University of Birmingham, 1997.

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18

Kindl, Mark R. A stochastic approach to the weighted-region problem: 1. the design of the path annealing algorithm. Naval Postgraduate School, 1991.

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19

Rotemberg, Julio. A heuristic method for extracting smooth trends from economic time series. National Bureau of Economic Research, 1999.

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20

Carter, Jason W. Testing effectiveness of genetic algorithms for exploratory data analysis. Naval Postgraduate School, 1997.

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21

Center, Lewis Research, ed. Application of a hybrid generation/utility assessment heuristic to a class of scheduling problems. Lewis Research Center, 1989.

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22

Rubinstein, Robert. Double resonances and spectral scaling in the weak turbulence theory of rotating and stratified turbulence. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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23

Steed, Arnold F. A heuristic search method of selecting range-range sites for hydrographic surveys. Naval Postgraduate School, 1991.

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24

Biswas, R. Load balancing sequences of unstructured adaptive grids. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

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25

Leonid, Oliker, and Research Institute for Advanced Computer Science (U.S.), eds. Load balancing sequences of unstructured adaptive grids. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

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26

S, Smith Steven, and United States. National Aeronautics and Space Administration., eds. Investigations into generalization of constraint-based scheduling theories with applications to space telescope observation scheduling: Final report for NASA contract # NCC 2-531. National Aeronautics and Space Administration, 1996.

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27

United States. National Aeronautics and Space Administration., ed. PLUM: Parallel load balancing for unstructured adaptive meshes : a thesis ... National Aeronautics and Space Administration, 1998.

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28

Rupak, Biswas, Gabow Harold N, and Research Institute for Advanced Computer Science (U.S.), eds. Performance analysis and portability of the PLUM load balancing system. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1998.

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29

United States. National Aeronautics and Space Administration., ed. PLUM: Parallel load balancing for unstructured adaptive meshes : a thesis ... National Aeronautics and Space Administration, 1998.

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30

Hsu, Tai C. Fast walking tree method via recurrence reduction for biological string alignment. Oregon State University, Dept. of Computer Science, 2002.

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31

Scheuermann, Peter. Data partitioning and load balancing in parallel disk systems. National Aeronautics and Space Administration, 1997.

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32

Scheuermann, Peter. Data partitioning and load balancing in parallel disk systems. National Aeronautics and Space Administration, 1997.

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33

Farahutdinov, Shamil'. Current trends and innovative methods in marketing research. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1016648.

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This tutorial provides an overview of modern and innovative research methods used in marketing. The main focus is on innovative methods that are just becoming widespread, as well as on traditional methods that are being transformed as a result of existing trends in the modern digital age. The theoretical and technical aspects underlying the methods under consideration, a brief history of their origin, heuristic possibilities and limitations are revealed. In some cases, examples of use are provided, as well as indications of useful resources and practical use of methods in individual research p

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34

Rothberg, Edward. Improved load distribution in parallel sparse Cholesky factorization. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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35

K, Iyer Ravishankar, and United States. National Aeronautics and Space Administration., eds. DEPEND: A simulation-based environment for system level dependability analysis. Center for Reliable and High-Performance Computing, Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1992.

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36

K, Iyer Ravishankar, and United States. National Aeronautics and Space Administration., eds. DEPEND: A simulation-based environment for system level dependability analysis. Center for Reliable and High-Performance Computing, Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1992.

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37

K, Iyer Ravishankar, and Langley Research Center, eds. DEPEND: A design environment for prediction and evaluation of system dependability. Center for Reliable and High Performance Computing, Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1990.

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38

Leonid, Oliker, Sohn Andrew, and United States. National Aeronautics and Space Administration., eds. Global load balancing with parallel mesh adaption on distributed-memory systems: NAS technical report NAS-96-013. National Aeronautics and Space Administration, 1996.

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39

Scholl, Armin. Balancing and sequencing of assembly lines. Physica-Verlag, 1995.

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40

Harchenko, Vera. Word and thought: one step ahead. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2131278.

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The monograph is devoted to non-traditional ways of thinking, which can be added to the methods already available and well-proven. The idea of combining science and art, combining the intentional and the accidental, is not new. The word is perceived as a bright, weighty tool that opens up new depths of knowledge. Heuristic, unpredictable thought patterns lurk in the original use of language. Over forty diverse forms of such combined, convergent work operating in the modern world have been considered and summarized. It is intended for linguists and a wide range of readers interested in the poss

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41

Livingston, David L. Investigation of automated task learning, decomposition and scheduling. Old Dominion University Research Foundation, 1990.

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42

Groner, R., M. Groner, and W. F. Bischof, eds. Methods of Heuristics. Routledge, 2014. http://dx.doi.org/10.4324/9781315825649.

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43

Groner, M., and W. F. Bischof. Methods of Heuristics. Taylor & Francis Group, 2014.

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44

Groner, M., and W. F. Bischof. Methods of Heuristics. Routledge, 2014.

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45

Groner, M., and W. F. Bischof. Methods of Heuristics. Taylor & Francis Group, 2014.

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46

Abbott, Andrew. Methods of Discovery: Heuristics for the Social Sciences (Contemporary Societies). W. W. Norton, 2004.

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47

Rabadi, Ghaith. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Springer, 2018.

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48

Rabadi, Ghaith. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Springer, 2016.

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49

Rabadi, Ghaith. Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling. Springer, 2016.

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50

Methods of Discovery: Heuristics for the Social Sciences (Contemporary Societies). W. W. Norton, 2004.

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