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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Détails bibliographiques
Auteur principal: Palade, Vasile (Directeur de la publication)
Autres auteurs: Srinivasan, Dipti (Éditeur intellectuel), Jain, Lakhmi C., 1946- (Directeur de la publication), Srinivasan, Dipti, 19..- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2007.
Collection:Studies in Computational Intelligence 66
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in Evolutionary Computing for System Design, Texte imprimé, 9783540723769
• Advances in Evolutionary Computing for System Design, Texte imprimé, 9783540838012
• Advances in Evolutionary Computing for System Design, Texte imprimé, 9783642091445
• Advances in Evolutionary Computing for System Design, Texte imprimé, 9783540723769
Table des matières:
  • 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