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Genetic algorithms and evolution strategy in engineering and computer science recent advances and industrial applications

D Quagliarella

Chichester John Wiley & Sons New York c1998

Localização: EPECP - Esc. Politécnica-Bib Eng Civil e Prod    (510.51 G2861 )(Acessar)

  • Título:
    Genetic algorithms and evolution strategy in engineering and computer science recent advances and industrial applications
  • Autor: D Quagliarella
  • Assuntos: ALGORITMOS E ESTRUTURAS DE DADOS; ALGORITMOS GENÉTICOS
  • Notas: Includes bibliographical references
  • Descrição: Artificial evolution : how and why? / H.-P. Schwefel and T. Black -- Adaptive niching via coevolutionary sharing / D. Goldberg and L. Wang -- Representations issues in neighbourhood search and evolutionary algorithms / D. Whitl ey, S. Rana and R.Heckendorn -- Gene expression : the missing link in evolutionary computation / H. Kargupta -- Immunized artificial systems : concepts and applications / K. Krishnakumar and J. Neidhoefer -- Designing electroni c circuits using evolutionaryalgorithms arithmetic circuits : a case study / J.F. Miller, P. Thomson and T. Fogarty -- Evolutionary computing for conceptual and detailed design / I.C. Parmee -- Cam shape optimization by genetic algorithms / J.T. Alexander and J. Lampinen --Evolutionary algorithms : applications at the informatik center Dotmund / T. Bäck ... [et al.] -- Evolutionary learning processes for data analysis in electrical engineering applic ations / O. Gordón, F. Herrara and L. Sánchez -- Ga multipleobjective optimization strategies foe electromagnetic backscattering / J. Périaux, M. Sefrioui and B. Mantel -- Pareto genetic algorithm for aerodynamic design using t he Navier-Stokes equations / S. Obayahi -- GA coupled with computationallyexpensive simulations : tools to improve efficiency / G. Poloni and V. Pediroda -- Coupling genetic algorithms and gradient based optimization techniques / D. Quagiarella and A. Vicini -- Evolutionary synthesis of control policies
    formanufacturing systems / B. Porter -- Parametric and non-parametric identification of marco-mechanical models / M. Sebag, M. Schoenauer and H. Mait ournam -- Evolutionary mobile robotics / D. Floreano -- Nonlinear system identification by means ofevolutionary optimised neural networks / I. De Falco
  • Editor: Chichester John Wiley & Sons New York
  • Data de criação/publicação: c1998
  • Formato: x, 391 p. ill. 25 cm.
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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