„Software evolution“

Suchergebnisse

1.095 Treffer

• Alma Lilia Garcia Almanza, and Edward Tsang: Evolutionary applications for financial prediction: classification methods to gather patterns using genetic programming – VDM Verlag Dr. Müller, 2011, ISBN: 978-3639307672
  LeBaron, Blake
• Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach – Springer, 187 pages, ISBN-13: 978-3642025402
  Woodward, John
• Book Review: Evolutionary Computation in Bioinformatics
  Raymer, Michael L.
• Book Review: Genetic Programming—An Introduction: On the Automatic Evolution of Computer Programs and Its Applications
  Punch, William
• Book Review: Evolutionary Design by Computers
  Whigham, Peter A.
• Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages
  Lehman, Joel
• Book Review: Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
  Stepney, Susan
• Book Review: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
  Alfonseca, Manuel ; Ortega, Alfonso
• Juan Romero and Penousal Machado (eds): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music – Natural Computing Series, Springer Science+Business Media, 2008, 460 pp, 169 illustrations, 91 in colour, Hard Cover with DVD, ISBN: 978-3-540-72876-4
  Eggermont, Jeroen
• Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence – Springer, 2008, 322 pp, ISBN 978-3-540-75770-2
  Deschaine, Larry M.
• Book Review: Illustrating Evolutionary Computation with Mathematica
  Ebner, Marc
• Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs
  Hand, David J.
• Book Review: Evolutionary Robotics: the Biology, Intelligence, and Technology of Self-Organizing Machines
  Gomi, Takashi
• Evolutionary computation: a unified approach – MIT Press, Kenneth A. De Jong, 2006, 256 pp, ISBN 0-262-04194-4
  Reeves, Colin R.
• Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation – Springer Science, New York, N. Nikolaev and H. Iba, 2006, Vol. XIV, 316 pp, ISBN 0:387-31239-0
  Milone, Diego H.
• 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
  Ványi, Róbert
• Evolvable hardware – Springer, Genetic and Evolutionary Computation Series, edited by Tetsuya Higuchi, Yong Liu and Xin Yao, 224 pp, ISBN 0-387-24386-0
  Valle Simoes, Eduardo do
• “Machine learning assisted evolutionary multi- and many-objective optimization” by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, and Erik D. Goodman, ISBN 978-981-99-2095-2, Springer, 2024
  Selçuklu, Saltuk Buğra
• “The physics of evolution” by Michael W. Roth, Crc press, 2023
  Banzhaf, Wolfgang
• Benjamin Doerr and Frank Neumann (editors): theory of evolutionary computation – Springer, 2020, Hardcover, 518 pages, ISBN: 978-3-030-29413-7
  Rowe, Jonathan E.