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In-depth look at compiler design

Computer, 2003, Vol.36 (6), p.100

Lutz, Michael J

2003

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Codeplay's VectorC

Game Developer, 2001, Vol.8 (5), p.16

Sharp, Brian

2001

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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

Genetic Programming and Evolvable Machines, 2018, Vol.19 (1-2), p.309-311

Shir, Ofer M.

2018

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Network processor design, issues and practices: volume I [Book Reviews]

IEEE Network, 2003, Vol.17 (4), p.6-6

Nikolaidis, J.

2003

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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

Genetic Programming and Evolvable Machines, 2017, Vol.18 (3), p.407-409

Xue, Bing

2017

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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

Genetic Programming and Evolvable Machines, 2017, Vol.18 (1), p.119-120

Corns, Steven Michael

2017

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

Genetic Programming and Evolvable Machines, 2016, Vol.17 (2), p.193-195

Ludwig, Simone A.

2016

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Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective: Springer, 2015, Softcover, ISBN: 978-3-319-15523-4

Genetic Programming and Evolvable Machines, 2015, Vol.16 (4), p.559-561

Trujillo, Leonardo

2015

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Franz Rothlauf: Design of Modern Heuristics: Springer, 2011, ISBN 978-3-540-72961-7

Genetic Programming and Evolvable Machines, 2013, Vol.14 (1), p.119-121

Landa-Silva, Dario

2013

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Anne Auger and Benjamin Doerr (eds): Theory of randomized search heuristics: foundations and recent developments: World Scientific (2011), 359 pp

Genetic Programming and Evolvable Machines, 2014, Vol.15 (1), p.111-112

Popovici, Elena

2014

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Thomas Jansen: Analyzing Evolutionary Algorithms: The Computer Science Perspective: Springer, 2013, 255 pp, ISBN: 978-3-642-17338-7

Genetic Programming and Evolvable Machines, 2013, Vol.14 (4), p.473-475

Sutton, Andrew M.

2013

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Sean Luke: essentials of metaheuristics

Genetic Programming and Evolvable Machines, 2011, Vol.12 (3), p.333-334

Lones, Michael

2011

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Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach: Springer, 2009, ISBN 978-90-481-2905-8

Genetic Programming and Evolvable Machines, 2011, Vol.12 (4), p.461-462

Rieffel, John

2011

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Paul Coates: Programming architecture: Routlegde, 187 pp, ISBN: 978-0-415-45188-8

Genetic Programming and Evolvable Machines, 2011, Vol.12 (4), p.463-464

Medjdoub, Benachir

2011

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Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning: CRC Press, 327 pp, ISBN: 978-1-4398-0369-1

Genetic Programming and Evolvable Machines, 2011, Vol.12 (2), p.179-180

Veeramachaneni, Kalyan

2011

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Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach: Springer, 187 pages, ISBN-13: 978-3642025402

Genetic Programming and Evolvable Machines, 2011, Vol.12 (1), p.81-83

Woodward, John

2011

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Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies

Genetic Programming and Evolvable Machines, 2010, Vol.11 (3-4), p.441-443

Garibay, Ivan

2010

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Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation: Morgan Kaufmann Publishers, 2007, 467 pp

Genetic Programming and Evolvable Machines, 2008, Vol.9 (4), p.367-369

Estévez, Pablo A.

2008

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Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications: CRC Press, 2009, 379 pp, US $79.95, hardcover, ISBN-13: 978-1584886297

Genetic Programming and Evolvable Machines, 2010, Vol.11 (1), p.123-125

Pappa, Gisele L.

2010

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Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution: MIT Press, Vienna Series in Theoretical Biology, Vol. 6, Richard A. Watson, 2006, 300 p., Hardcover, ISBN 0-262-23243-X

Genetic Programming and Evolvable Machines, 2008, Vol.9 (1), p.97-99

Ványi, Róbert

2008

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A Mathematical Theory of Global Program Optimization

SIAM Review, 1974, Vol.16 (4), p.565-566

Kennedy, Kenneth W.

1974

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How to supercharge your RISC engine -- High Performance Computing by Kevin Dowd

IEEE Software, 1995, Vol.12 (2), p.114-115

Dawkins, Spencer

1995

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SOFTWARE REVIEWS: LIMDEP: A REVIEW 1. OVERVIEW

Journal of Applied Econometrics (1986-1998), 1987, Vol.2 (3), p.251

Melfi, C A

1987

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VTunes 3.0

Game Developer, 1998, Vol.5 (11), p.10

Teven, Dan

1998

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Building tools and libraries--In MS-DOS -- Building Custom Software Tools and Libraries by Martin Stitt

IEEE Software, 1995, Vol.12 (2), p.115-116

Bach, Richard

1995

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In-depth look at compiler design

Codeplay's VectorC

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

Network processor design, issues and practices: volume I [Book Reviews]

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

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

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

Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective: Springer, 2015, Softcover, ISBN: 978-3-319-15523-4

Franz Rothlauf: Design of Modern Heuristics: Springer, 2011, ISBN 978-3-540-72961-7

Anne Auger and Benjamin Doerr (eds): Theory of randomized search heuristics: foundations and recent developments: World Scientific (2011), 359 pp

Thomas Jansen: Analyzing Evolutionary Algorithms: The Computer Science Perspective: Springer, 2013, 255 pp, ISBN: 978-3-642-17338-7

Sean Luke: essentials of metaheuristics

Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach: Springer, 2009, ISBN 978-90-481-2905-8

Paul Coates: Programming architecture: Routlegde, 187 pp, ISBN: 978-0-415-45188-8

Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning: CRC Press, 327 pp, ISBN: 978-1-4398-0369-1

Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach: Springer, 187 pages, ISBN-13: 978-3642025402

Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies

Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation: Morgan Kaufmann Publishers, 2007, 467 pp

Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications: CRC Press, 2009, 379 pp, US $79.95, hardcover, ISBN-13: 978-1584886297

Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution: MIT Press, Vienna Series in Theoretical Biology, Vol. 6, Richard A. Watson, 2006, 300 p., Hardcover, ISBN 0-262-23243-X

A Mathematical Theory of Global Program Optimization

How to supercharge your RISC engine -- High Performance Computing by Kevin Dowd

SOFTWARE REVIEWS: LIMDEP: A REVIEW 1. OVERVIEW

VTunes 3.0

Building tools and libraries--In MS-DOS -- Building Custom Software Tools and Libraries by Martin Stitt

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