Studies in Computational Intelligence

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Editors: Castillo, Oscar, Pedrycz, Witold (Eds.)

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About this book

The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part contains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary algorithms for optimizing modular neural networks with fuzzy systems for response integration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning objects and social agents. The fourth part contains papers that deal with intelligent systems in robotics applications and hardware implementations.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization

    Pages 3-16

    Martínez-Marroquín, Ricardo (et al.)

  • Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plants

    Pages 17-31

    Martinez, Ricardo (et al.)

  • Multi-Agent System with Fuzzy Logic Control for Autonomous Mobile Robots in Known Environments

    Pages 33-52

    Solano-Aragón, Cinthya (et al.)

  • Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems

    Pages 53-61

    Mendez, Gerardo M. (et al.)

  • Centralized Direct and Indirect Neural Control of Distributed Parameter Systems

    Pages 63-81

    Baruch, Ieroham S. (et al.)

Buy this book

eBook $149.00
price for USA in USD
  • ISBN 978-3-642-04514-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-642-04513-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $199.99
price for USA in USD
  • ISBN 978-3-642-26083-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Editors
  • Oscar Castillo
  • Witold Pedrycz
Series Title
Studies in Computational Intelligence
Series Volume
257
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-04514-1
DOI
10.1007/978-3-642-04514-1
Hardcover ISBN
978-3-642-04513-4
Softcover ISBN
978-3-642-26083-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
IX, 327
Topics