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Books on the topic 'Evolutionary computer algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Yu, Xinjie. Introduction to evolutionary algorithms. Springer, 2010.

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2

Ghanea-Hercock, Robert. Applied Evolutionary Algorithms in Java. Springer New York, 2003.

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3

Drechsler, Rolf. Evolutionary Algorithms for VLSI CAD. Springer US, 1998.

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4

Drechsler, Rolf. Evolutionary algorithms for VLSI CAD. Kluwer Academic Publishers, 1998.

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5

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

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6

Designing evolutionary algorithms for dynamic environments. Springer, 2004.

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7

Zelinka, Ivan. Evolutionary Algorithms and Chaotic Systems. Springer-Verlag Berlin Heidelberg, 2010.

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8

Rothlauf, Franz. Representations for Genetic and Evolutionary Algorithms. Physica-Verlag HD, 2002.

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9

Mayer, David G. Evolutionary Algorithms and Agricultural Systems. Springer US, 2002.

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10

Coello, Carlos A. Coello. Evolutionary algorithms for solving multi-objective problems. Kluwer Academic, 2002.

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11

Spears, William M. Evolutionary algorithms: The role of mutation and recombination. Springer, 2000.

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12

Agent-based evolutionary search. Springer-Verlag, 2010.

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13

Chen, Ying-ping. Exploitation of linkage learning in evolutionary algorithms. Springer, 2010.

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14

Evolutionary learning algorithms for neural adaptive control. Springer, 1997.

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15

Spears, William M. Evolutionary Algorithms: The Role of Mutation and Recombination. Springer Berlin Heidelberg, 2000.

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16

Coello, Carlos A. Coello. Evolutionary Algorithms for Solving Multi-Objective Problems. Springer US, 2002.

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17

Theory of evolutionary algorithms and application to system synthesis. Hochschulverlag AG an der ETH, 1997.

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18

A, Hashem M. M., ed. Evolutionary computations: New algorithms and their applications to evolutionary robots. Springer-Verlag, 2004.

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19

Vasiljević, Darko. Classical and Evolutionary Algorithms in the Optimization of Optical Systems. Springer US, 2002.

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20

Branke, Jürgen. Evolutionary optimization in dynamic environments. Kluwer Academic Publishers, 2002.

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21

Pappa, Gisele L. Automating the design of data mining algorithms: An evolutionary computation approach. Springer, 2010.

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22

Evolutionary computation: A unified approach. MIT Press, 2001.

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23

Larrañaga, Pedro. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation. Springer US, 2002.

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24

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

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25

Fundamentals of natural computing: Basic concepts, algorithms, and applications. Chapman & Hall/CRC, 2006.

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26

E, Goldberg David. The design of innovation: Lessons from and for competent genetic algorithms. Kluwer Academic Publishers, 2002.

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27

Crina, Grosan, Abraham Ajith 1968-, and Ishibuchi Hisao, eds. Hybrid evolutionary algorithms. Springer, 2007.

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28

Ishibuchi, Hisao, Ajith Abraham, and Crina Grosan. Hybrid Evolutionary Algorithms. Springer, 2010.

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29

(Editor), Eduardo Reck Miranda, and John Al Biles (Editor), eds. Evolutionary Computer Music. Springer, 2007.

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30

Simon, Dan. Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2013.

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31

Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2013.

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32

Yu, Xinjie, and Mitsuo Gen. Introduction to Evolutionary Algorithms. Springer, 2012.

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33

Yu, Xinjie, and Mitsuo Gen. Introduction to Evolutionary Algorithms. Springer, 2011.

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34

Tomassini, Marco. Spatially Structured Evolutionary Algorithms. Springer, 2008.

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35

B, Fogel David, Bäck Thomas 1963-, and Michalewicz Zbigniew, eds. Basic algorithms and operators. Institute of Physics Publishing, 2000.

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36

Applied Evolutionary Algorithms in Java. Springer, 2003.

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37

Lamont, Gary B., Carlos A. Coello Coello, and David A. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic Algorithms and Evolutionary Computation). Springer, 2002.

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38

B, Fogel David, Bäck Thomas 1963-, and Michalewicz Zbigniew, eds. Advanced algorithms and operators. Institute of Physics Pub., 2000.

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39

(Editor), Thomas Baeck, D. B. Fogel (Editor), and Z. Michalewicz (Editor), eds. Evolutionary Computation 1: Basic Algorithms and Operators (Evolutionary Computation). Taylor & Francis, 2000.

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40

Bäck, Thomas. Evolutionary Algorithms in Theory and Practice. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099713.001.0001.

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This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results

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41

Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, USA, 1995.

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42

Rolf, Drechsler, and Drechsler Nicole 1970-, eds. Evolutionary algorithms for embedded system design. Kluwer Academic Publishers, 2003.

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43

Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Computation). Springer, 2004.

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44

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

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45

Michalewicz, Zbigniew, and Dipankar Dasgupta. Evolutionary Algorithms in Engineering Applications. Springer, 2014.

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46

(Editor), Dipankar Dasgupta, and Zbigniew Michalewicz (Editor), eds. Evolutionary Algorithms in Engineering Applications. Springer, 2001.

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47

(Editor), Thomas Baeck, D. B. Fogel (Editor), and Z. Michalewicz (Editor), eds. Advanced Algorithms and Operations (Evolutionary Computation). Taylor & Francis, 2000.

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48

(Editor), Pedro Larrañaga, and José A. Lozano (Editor), eds. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation). Springer, 2001.

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49

1966-, Clark David E., ed. Evolutionary algorithms in molecular design. Wiley-VCH, 2000.

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50

Zelinka, Ivan, Guanrong Chen, Sergej Celikovský, and Hendrik Richter. Evolutionary Algorithms and Chaotic Systems. Springer, 2012.

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