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Advances in Evolutionary Computing for System Design

Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book includes thirteen chapters covering a wide area of topics in evolutionary computing and applications including: Introduction to evolutionary computing in system design Evolutionary neur...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Palade, Vasile (Editor ), Srinivasan, Dipti (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Studies in Computational Intelligence, 66
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Evolutionary Computing in System Design
  • Evolutionary Neuro-Fuzzy Systems and Applications
  • Evolution of Fuzzy Controllers and Applications
  • A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA Sequences
  • Evolutionary Grooming of Traffic in WDM Optical Networks
  • EPSO: Evolutionary Particle Swarms
  • Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms
  • Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm
  • Distributed Problem Solving using Evolutionary Learning in Multi-Agent Systems
  • Evolutionary Computing within Grid Environment
  • Application of Evolutionary Game Theory to Wireless Mesh Networks
  • Applying Hybrid Multiobjective Evolutionary Algorithms to the Sailor Assignment Problem
  • Evolutionary Techniques Applied to Hardware Optimization Problems: Test and Verification of Advanced Processors.