Advances in Evolutionary Computing for System Design

• Corporate Author: SpringerLink (Online service)
• Other Authors: Jain, Lakhmi C. (Editor), Palade, Vasile (Editor), Srinivasan, Dipti (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Computational Intelligence, 66
• Subjects: Computer science.; Artificial intelligence.; Computer-aided engineering.; Applied mathematics.; Engineering mathematics.; Computer Science.; Computer-Aided Engineering (CAD, CAE) and Design.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.