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Books on the topic 'Heuristics methods'

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Published: 30 May 2022
Last updated: 31 May 2022

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1

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

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2

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

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

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

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18

Biswas, R. Load balancing sequences of unstructured adaptive grids. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1997.

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19

E, Stavroulakis G., ed. Nonconvex optimization in mechanics: Algorithms, heuristics, and engineering applications by the F.E.M. Dordrecht: Kluwer Academic Publishers, 1998.

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20

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

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21

Farahutdinov, Shamil'. Current trends and innovative methods in marketing research. ru: 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 practice. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is the basis for studying the discipline "Modern methods of sociological research", and its separate sections can complement such disciplines as "Methodology and methods of sociological research", "methods of marketing research", "data Analysis in sociology", etc. The materials of the manual can also be useful for independent researchers, business representatives, and managers. For students and postgraduates studying in groups of specialties and training areas 38.00.00 "Economics and management" and 39.00.00 "Sociology and social work".
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22

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

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23

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

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24

Rothberg, Edward. Improved load distribution in parallel sparse Cholesky factorization. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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25

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

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26

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

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27

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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28

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

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29

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

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30

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

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31

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

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32

Paavilainen, Janne, Hannu Korhonen, Elina Koskinen, and Kati Alha. Heuristic evaluation of playability. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0015.

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The fierce competition in the video games market and new revenue models such as free-to-play emphasize the importance of good playability for first-time user experience and retention. Cost-effective and flexible evaluation methods such as heuristic evaluation is suitable for identifying playability problems in different phases of the game development life cycle. In this chapter we introduce the heuristic evaluation method with updated playability heuristics, present example studies on identifying playability problems in social network games, and propose new heuristics for evaluating free-to-play games.
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33

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

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34

(Editor), Javier Garzas, and Mario Piattini (Editor), eds. Object-oriented Design Knowledge: Principles, Heuristics And Best Practices. IGI Global, 2006.

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35

Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World. Wiley, 2014.

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36

McNeill, Fiona, and Carlos Andre Reis Pinheiro. Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World. Wiley & Sons, Incorporated, John, 2014.

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37

McNeill, Fiona, and Carlos Andre Reis Pinheiro. Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World. Wiley & Sons, Incorporated, John, 2014.

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38

Cappelen, Herman, Tamar Szabó Gendler, and John Hawthorne, eds. The Oxford Handbook of Philosophical Methodology. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199668779.001.0001.

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This book examines the nature of philosophical methodology, defined as the study of philosophical method: how to do philosophy well. It considers a number of hypotheses that explain the nature of philosophical methodology, including eliminativism, epistemologism, theory selectionism, necessary preconditionalism, and hierarchicalism. It also tackles a range of topics such as ‘ordinary language philosophy’, the role of logic in philosophical methodology, phenomenology, philosophical heuristics, and methods in the philosophy of literature and film. Other chapters discuss the method of reflective equilibrium, the notions of conceivability and possibility, naturalistic approaches to philosophical methodology, the methodology of legal philosophy, aesthetics and the philosophy of art as branches of analytic philosophy, issues and methods in the philosophy of mathematics, how and whether faith conflicts with reason, and critical philosophy of race.
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39

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

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40

Smith, G. D., V. J. Rayward-Smith, I. H. Osman, and C. R. Reeves. Modern Heuristic Search Methods. Wiley & Sons, Incorporated, John, 2000.

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41

Siegrist, Michael, and Christina Hartmann. Overcoming the Challenges of Communicating Uncertainties Across National Contexts. Edited by Kathleen Hall Jamieson, Dan M. Kahan, and Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.47.

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The goal of risk communication is to provide information about risks and uncertainties in a way that enables people to make the best decisions, based on their own values. Various factors influence the success of risk communication. This chapter first highlights risk communication methods and formats that determine successful risk communication. For example, laypeople do not understand all presentation formats of numbers equally well, and risk comparisons help them improve their evaluation of risk information. It also introduces the influence of heuristics, trust, and cultural values for decisions under uncertainty conditions. In the case of controversial topics, heuristics and trust influence how people interpret uncertainties. Research suggests that most people depend on experts with whom they share salient values in a given context. Based on the available evidence, the chapter provides some recommendations for communicating uncertainties at the end of the chapter and further describe some avenues for research.
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42

Expert Systems Development Utilizing Heuristic Methods. Storming Media, 1996.

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43

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. Amsterdam: IOS Press, 2003.

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44

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

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45

Rayward-Smith, V. J. Applications of Modern Heuristic Methods (UNICOM - Information & Communications Technology). Nelson Thornes Ltd, 1998.

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46

Borum, Randy. Targeted Violence in Schools. Edited by Phillip M. Kleespies. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352722.013.9.

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Though targeted attacks at schools are rare events, educators and behavioral health professionals working in those settings must evaluate threats and threatening situations when they occur. Schools across the world have experimented with different methods over time, but the threat assessment approach—particularly executed by an interdisciplinary team—has emerged as abest practice. This chapter describes the results of the Safe School Initiative, an in-depth case analysis of 37 targeted school attacks involving 41 attackers over a 25-year period, and their implications for understanding the attackers, the situations, the settings, and the targets. It addresses the continuum of threats that schools may encounter and offers some heuristics for decision making, including recent research on key indicators of intent. It concludes by emphasizing the need for schools to have incident and post-incident response plans to mitigate harm if an attack does occur.
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47

Vale, Zita, and Kwang Y. Lee. Application of Modern Heuristic Optimization Methods in Power and Energy Systems. Wiley & Sons, Incorporated, John, 2020.

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48

Lee, Kwang Y., and Zita A. Vale. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. Wiley & Sons, Incorporated, John, 2020.

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49

Lee, Kwang Y., and Zita A. Vale. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. Wiley & Sons, Incorporated, John, 2020.

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50

Lee, Kwang Y., and Zita A. Vale, eds. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. Wiley, 2020. http://dx.doi.org/10.1002/9781119602286.

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