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

摘要

Artificial Evolution: How and Why? (H.-P Schwefel & T. Bdck) Adaptive Niching via Coevolutionary Sharing (D. Goldberg & L. Wang) Representation Issues in Neighbourhood Search and Evolutionary Algorithms (D. Whitley, et al.) Gene Expression: The Missing Link in Evolutionary Computation (H. Kargupta) Immunized Artificial Systems Concepts and Applications (K. Krishnakumar & J. Neidhoefer) Designing Electronic Circuits Using Eolutionary Algorithms Arithmetic Circuits: A Case Study (J. Miller, et al.) Evolutionary Computing for Conceptual and Detailed Design (I. Parmee) Cam Shape Optimization by Genetic Algorithms (J. Alander & J. Lampinen) Evolutionary Algorithms: Applications at the Informatik Center Dortmund (T. Bdck, et al.) Evolutionary Learning Processes for Data Analysis in Electrical Engineering Applications (O. Cordsn, et al.) Ga Multiple Objective Optimization Strategies for Electromagnetic Backscattering (J. Piriaux, et al.) Pareto Genetic Algorithm for Aerodynamic Design Using the Navier-Stokes Equations (S. Obayashi) GA Coupled with Computationally Expensive Simulations: Tools to Improve Efficiency (G. Poloni & V. Pediroda) Coupling Genetic Algorithms and Gradient Based Optimization Techniques (D. Quagliarella & A. Vicini) Evolutionary Synthesis of Control Policies for Manufacturing Systems (B. Porter) Parametric and Non-Parametric Identification of Macro-Mechanical Models (M. Sebag, et al.) Evolutionary Mobile Robotics (D. Floreano) Nonlinear System Identification by Means of Evolutionary Optimised Neural Networks (I. De Falco).