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Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation: Springer, 2020, Hardcover, 518 pages, ISBN: 978-3-030-29413-7
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Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation: Springer, 2020, Hardcover, 518 pages, ISBN: 978-3-030-29413-7

Rowe, Jonathan E.

Genetic Programming and Evolvable Machines, 2024, Vol.25 (2), Article 15 [Periódico revisado por pares]

New York: Springer US

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2
“The physics of evolution” by Michael W. Roth, Crc press, 2023
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“The physics of evolution” by Michael W. Roth, Crc press, 2023

Banzhaf, Wolfgang

Genetic Programming and Evolvable Machines, 2024, Vol.25 (2), Article 16 [Periódico revisado por pares]

New York: Springer US

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3
Book Review: the evolution of complexity
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Book Review: the evolution of complexity

Dolson, Emily

Genetic Programming and Evolvable Machines, 2022, Vol.23 (4), p.585-587 [Periódico revisado por pares]

New York: Springer US

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4
Christian Blum and Günther R. Raidl: Hybrid metaheuristics—powerful tools for optimization: Springer International Publishing, Switzerland, 2016, 157 pp, ISBN: 978-3-319-30882-1
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Christian Blum and Günther R. Raidl: Hybrid metaheuristics—powerful tools for optimization: Springer International Publishing, Switzerland, 2016, 157 pp, ISBN: 978-3-319-30882-1

Shir, Ofer M.

Genetic Programming and Evolvable Machines, 2018, Vol.19 (1-2), p.309-311 [Periódico revisado por pares]

New York: Springer US

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5
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning: The MIT Press, 2016, 800 pp, ISBN: 0262035618
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Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning: The MIT Press, 2016, 800 pp, ISBN: 0262035618

Heaton, Jeff

Genetic Programming and Evolvable Machines, 2018, Vol.19 (1-2), p.305-307 [Periódico revisado por pares]

New York: Springer US

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6
Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead: The MIT Press, 2016, pp 312, ISBN: 9780262035224
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Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead: The MIT Press, 2016, pp 312, ISBN: 9780262035224

Zarges, Christine

Genetic Programming and Evolvable Machines, 2018, Vol.19 (1-2), p.301-303 [Periódico revisado por pares]

New York: Springer US

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7
Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms: Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3
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Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms: Springer, 2016, 190 pp, ISBN: 978-3-319-33858-3

Xue, Bing

Genetic Programming and Evolvable Machines, 2017, Vol.18 (3), p.407-409 [Periódico revisado por pares]

New York: Springer US

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8
James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation: John Wiley and Sons, 2016, 378 pp, ISBN 978-1-110-21434-2
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James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation: John Wiley and Sons, 2016, 378 pp, ISBN 978-1-110-21434-2

Corns, Steven Michael

Genetic Programming and Evolvable Machines, 2017, Vol.18 (1), p.119-120 [Periódico revisado por pares]

New York: Springer US

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9
Anthony Brabazon, Michael O’Neill, Sean McGarraghy: Natural computing algorithms: Springer, 2015, 554 pp, ISBN: 978-3-662-43631-8
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Anthony Brabazon, Michael O’Neill, Sean McGarraghy: Natural computing algorithms: Springer, 2015, 554 pp, ISBN: 978-3-662-43631-8

Ludwig, Simone A.

Genetic Programming and Evolvable Machines, 2016, Vol.17 (2), p.193-195 [Periódico revisado por pares]

New York: Springer US

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10
Malachy Eaton: Evolutionary humanoid robotics: Springer, 2015, ISBN 978-3-662-44598-3
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Malachy Eaton: Evolutionary humanoid robotics: Springer, 2015, ISBN 978-3-662-44598-3

Leitner, Jürgen

Genetic Programming and Evolvable Machines, 2016, Vol.17 (1), p.75-76 [Periódico revisado por pares]

New York: Springer US

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