Books on the topic 'Genetic programming, strategies, applications'

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1

Kaisa, Miettinen, ed. Evolutionary algorithms in engineering and computer science: Recent advances in genetic algorithms, evolution strategies, evolutionary programming, genetic programming, and industrial applications. Chichester: Wiley, 1999.

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2

Gandomi, Amir H., Amir H. Alavi, and Conor Ryan, eds. Handbook of Genetic Programming Applications. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20883-1.

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3

Michael, Affenzeller, ed. Genetic algorithms and genetic programming: Modern concepts and practical applications. Boca Raton: Chapman & Hall/CRC, 2009.

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4

Genetic and evolutionary computation: Medical applications. Chichester, U.K: Wiley, 2010.

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5

L, Karr C., and Freeman L. M, eds. Industrial applications of genetic algorithms. Boca Raton, FL: CRC Press, 1999.

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6

Maulik, Sunil. Molecular biotechnology: Therapeutic applications and strategies. New York: Wiley-Liss, 1997.

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7

David, North, and Mayfield Mark, eds. Object models: Strategies, patterns, and applications. 2nd ed. Upper Saddle River, N.J: Yourdon Press, 1997.

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8

David, North, and Mayfield Mark, eds. Object models: Strategies, patterns, and applications. Englewood Cliffs., N.J: Yourdon Press, 1995.

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9

Wong, Man Leung. Data mining using grammar based genetic programming and applications. Boston: Kluwer Academic, 2000.

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10

Jürgen, Borlak, ed. Handbook of toxicogenomics: Strategies and applications. Weinheim: Wiley-VCH, 2005.

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11

Lance, Chambers, ed. The practical handbook of genetic algorithms: Applications. 2nd ed. Boca Raton, Fla: Chapman & Hall/CRC, 2001.

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12

1955-, Banzhaf Wolfgang, ed. Genetic programming: An introduction on the automatic evolution of computer programs and its applications. San Francisco, Calif: Morgan Kaufmann Publishers, 1998.

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13

Java applications strategies for the AS/400. Carlsbad, CA: Midrange Computing, 1999.

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14

Bäck, Thomas. Evolutionary algorithms in theory and practice: Evolution strategies, evolutionary programming, genetic algorithms. New York: Oxford University Press, 1996.

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15

1962-, Yao Xin, ed. Evolutionary computation: Theory and applications. Singapore: World Scientific, 1999.

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16

Linda, Rising, ed. The patterns handbook: Techniques, strategies, and applications. Cambridge, U.K: Cambridge University Press, 1998.

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17

Nadia, Nedjah, and Macedo Mourelle Luiza de, eds. Evolutionary machine design: Methodology and applications. New York: Nova Science Publishers, 2005.

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18

Hong, Wei-Chiang Samuelson. Modeling applications and theoretical innovations in interdisciplinary evolutionary computation. Hershey, PA: Information Science Reference, 2013.

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19

Stephan, Olariu, and Zomaya Albert Y, eds. Handbook of bioinspired algorithms and applications. Boca Raton, FL: Chapman & Hall/CRC, 2006.

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20

Denoncourt, Don. Java applications strategies for iSeries and AS/400. 2nd ed. Carlsbad, CA: Midrange Computing, 2001.

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21

Dennis, Gregory C. Mission-critical Java project management: Business strategies, applications, and development. Reading, Mass: Addison-Wesley, 1999.

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22

Johnson, Dave. Enterprise AJAX: Strategies for building high performance web applications. Upper Saddle River, NJ: Prentice Hall, 2008.

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23

Alexei, White, and Charland Andre, eds. Enterprise AJAX: Strategies for building high performance web applications. Upper Saddle River, NJ: Prentice Hall, 2007.

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24

Krawiec, Krzysztof. Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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25

Sara, Silva, Krawiec Krzysztof, Machado Penousal, Cotta Carlos, and SpringerLink (Online service), eds. Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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26

1958-, Dasgupta D., and Michalewicz Zbigniew, eds. Evolutionary algorithms in engineering applications. Berlin: Springer, 1997.

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27

D, Quagliarella, ed. Genetic algorithms and evolution strategy in engineering and computer science: Recent advances and industrial applications. Chichester: J. Wiley & Sons, 1998.

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28

D, Quagliarella, ed. Genetic algorithms and evolution strategy in engineering and computer science: Recent advances and industrial applications. Chichester: John Wiley & Sons, 1998.

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29

1964-, Smith J. E., ed. Introduction to evolutionary computing. Berlin: Springer, 2003.

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30

R, Aliev R., ed. Soft computing and its applications. Singapore: World Scientific Press, 2001.

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31

Mars, P. Learning algorithms: Theory and applications in signal processing, control, and communications. Boca Raton: CRC Press, 1996.

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32

Neittaanmäki, Pekka, K. Miettinen, M. M. Mäkelä, and Jacques Périaux. Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications. Wiley & Sons, Incorporated, John, 2000.

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33

Neittaanmäki, Pekka, K. Miettinen, M. M. Mäkelä, and Jacques Périaux. Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications. Wiley & Sons, Incorporated, John, 2008.

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34

(Editor), K. Miettinen, Pekka Neittaanmäki (Editor), M. M. Mäkelä (Editor), and Jacques Périaux (Editor), eds. Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications. Wiley, 1999.

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35

Ryan, Conor, Amir H. Gandomi, and Amir H. Alavi. Handbook of Genetic Programming Applications. Springer, 2016.

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36

Ryan, Conor, Amir H. Gandomi, and Amir H. Alavi. Handbook of Genetic Programming Applications. Springer, 2015.

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37

Ryan, Conor, Amir H. Gandomi, and Amir H. Alavi. Handbook of Genetic Programming Applications. Springer, 2015.

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38

Ventura Soto, Sebastian, ed. Genetic Programming - New Approaches and Successful Applications. InTech, 2012. http://dx.doi.org/10.5772/3102.

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39

Bensten, Asa. Genetic Programming - New Approaches and Successful Applications. Scitus Academics LLC, 2017.

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40

Wagner, Stefan, Michael Affenzeller, Stephan Winkler, and Andreas Beham. Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. Taylor & Francis Group, 2009.

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41

Wagner, Stefan, Michael Affenzeller, Stephan Winkler, and Andreas Beham. Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. Taylor & Francis Group, 2009.

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42

Wagner, Stefan, Michael Affenzeller, Stephan Winkler, and Andreas Beham. Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. Taylor & Francis Group, 2018.

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43

Smith, Stephen L., and Stefano Cagnoni. Genetic and Evolutionary Computation: Medical Applications. Wiley & Sons, Incorporated, John, 2011.

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44

Smith, Stephen L., and Stefano Cagnoni. Genetic and Evolutionary Computation: Medical Applications. Wiley & Sons, Incorporated, John, 2010.

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45

Smith, Stephen L., and Stefano Cagnoni. Genetic and Evolutionary Computation: Medical Applications. Wiley & Sons, Incorporated, John, 2011.

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46

Smith, Stephen L., and Stefano Cagnoni. Genetic and Evolutionary Computation: Medical Applications. Wiley & Sons, Limited, John, 2010.

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47

Hrnjica, Bahrudin, and Ali Danandeh Mehr. Optimized Genetic Programming Applications: Emerging Research and Opportunities. IGI Global, 2018.

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48

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications (Numerical Insights). Chapman & Hall/CRC, 2008.

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49

Data Mining Using Grammar Based Genetic Programming and Applications. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b116131.

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50

Man Leung Man Leung Wong and Kwong Sak Kwong Sak Leung. Data Mining Using Grammar Based Genetic Programming and Applications. Springer London, Limited, 2006.

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