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"Genetic algorithms and evolution strategy in engineering and computer science" was published by John Wiley & Sons in 1998 - Chichester, it has 391 pages and the language of the book is English.


“Genetic algorithms and evolution strategy in engineering and computer science” Metadata:

  • Title: ➤  Genetic algorithms and evolution strategy in engineering and computer science
  • Authors:
  • Language: English
  • Number of Pages: 391
  • Publisher: John Wiley & Sons
  • Publish Date:
  • Publish Location: Chichester

“Genetic algorithms and evolution strategy in engineering and computer science” Subjects and Themes:

Edition Specifications:

  • Pagination: x, 391 p. :

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"Genetic algorithms and evolution strategy in engineering and computer science" Table Of Contents:

  • 1- Artificial evolution : how and why? / H.-P. Schwefel and T. Black
  • 2- Adaptive niching via coevolutionary sharing / D. Goldberg and L. Wang
  • 3- Representations issues in neighbourhood search and evolutionary algorithms / D. Whitley, S. Rana and R. Heckendorn
  • 4- Gene expression : the missing link in evolutionary computation / H. Kargupta
  • 5- Immunized artificial systems : concepts and applications / K. Krishnakumar and J. Neidhoefer
  • 6- Designing electronic circuits using evolutionary algorithms arithmetic circuits : a case study / J.F. Miller, P. Thomson and T. Fogarty
  • 7- Evolutionary computing for conceptual and detailed design / I.C. Parmee
  • 8- Cam shape optimization by genetic algorithms / J.T. Alexander and J. Lampinen
  • 9- Evolutionary algorithms : applications at the informatik center Dotmund / T. Bäck ... [et al.]
  • 10- Evolutionary learning processes for data analysis in electrical engineering applications / O. Gordón, F. Herrara and L. Sánchez
  • 11- Ga multiple objective optimization strategies foe electromagnetic backscattering / J. Périaux, M. Sefrioui and B. Mantel
  • 12- Pareto genetic algorithm for aerodynamic design using the Navier-Stokes equations / S. Obayahi
  • 13- GA coupled with computationally expensive simulations : tools to improve efficiency / G. Poloni and V. Pediroda
  • 14- Coupling genetic algorithms and gradient based optimization techniques / D. Quagiarella and A. Vicini
  • 15- Evolutionary synthesis of control policies for manufacturing systems / B. Porter
  • 16- Parametric and non-parametric identification of marco-mechanical models / M. Sebag, M. Schoenauer and H. Maitournam
  • 17- Evolutionary mobile robotics / D. Floreano
  • 18- Nonlinear system identification by means of evolutionary optimised neural networks / I. De Falco.

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