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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Jain, Lakhmi C. (Επιμελητής έκδοσης), Palade, Vasile (Επιμελητής έκδοσης), Srinivasan, Dipti (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Studies in Computational Intelligence, 66
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.