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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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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.