Genetic algorithms and evolution strategy in engineering and computer science

"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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