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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

  • Book
  • © 2009

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Editors:
  1. Oscar Castillo

    1. Department of Computer Science, Tijuana Institute of Technology, Chula Vista, USA

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  2. Witold Pedrycz

    1. Dept. Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

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  • Recent results in Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Part of the book series: Studies in Computational Intelligence (SCI, volume 257)

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Table of contents (18 chapters)

  1. Front Matter

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  2. Intelligent Control

    1. Front Matter

      Pages 1-1
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    2. Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization

      • Ricardo Martínez-Marroquín, Oscar Castillo, José Soria
      Pages 3-16

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

      • Ricardo Martinez, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez
      Pages 17-31

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

      • Cinthya Solano-Aragón, Arnulfo Alanis
      Pages 33-52

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

      • Gerardo M. Mendez, Ma. De Los Angeles Hernandez
      Pages 53-61

    6. Centralized Direct and Indirect Neural Control of Distributed Parameter Systems

      • Ieroham S. Baruch, Rosalba Galvan-Guerra
      Pages 63-81

  3. Pattern Recognition

    1. Front Matter

      Pages 83-83
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    2. An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction

      • Martha Pulido, Alejandra Mancilla, Patricia Melin
      Pages 85-110

    3. Optimization of Fuzzy Response Integrators in Modular Neural Networks with Hierarchical Genetic Algorithms: The Case of Face, Fingerprint and Voice Recognition

      • Ricardo Muñoz, Oscar Castillo, Patricia Melin
      Pages 111-129

    4. Modular Neural Network with Fuzzy Integration of Responses for Face Recognition

      • Erika Ayala, Miguel Lopez, Patricia Melin
      Pages 131-158

    5. A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures

      • Magdalena Serrano, Patricia Melin
      Pages 159-183

    6. Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration

      • Mónica Beltrán, Patricia Melin, Leonardo Trujillo
      Pages 185-201

  4. Learning and Social Simulation

    1. Front Matter

      Pages 203-203
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    2. A Hybrid Recommender System Architecture for Learning Objects

      • Mario García-Valdez, Brunett Parra
      Pages 205-211

    3. TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation

      • Dora-Luz Flores, Antonio Rodríguez-Díaz, Juan R. Castro, Carelia Gaxiola
      Pages 213-225

    4. Fuzzy Personality Model Based on Transactional Analysis and VSM for Socially Intelligent Agents and Robots

      • Carelia Gaxiola, Antonio Rodríguez-Díaz, Susan Jones, Manuel Castañón-Puga, Dora-Luz Flores
      Pages 227-241

  5. Robotics and Hardware Implementations

    1. Front Matter

      Pages 243-243
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    2. Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case

      • Nohe R. Cazarez-Castro, Luis T. Aguilar, Oscar Castillo, Antonio Rodríguez-DÅ•az
      Pages 245-257

    3. Genetic Optimization for the Design of Walking Patterns of a Biped Robot

      • Selene L. Cardenas-Maciel, Oscar Castillo, Luis T. Aguilar, Antonio Rodríguez-Díaz
      Pages 259-271
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Keywords

About this book

We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. 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 c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, 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 - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Editors and Affiliations

  • Department of Computer Science, Tijuana Institute of Technology, Chula Vista, USA

    Oscar Castillo

  • Dept. Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

  • Editors: Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-04514-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-642-04513-4Published: 09 October 2009

  • Softcover ISBN: 978-3-642-26083-4Published: 14 March 2012

  • eBook ISBN: 978-3-642-04514-1Published: 13 October 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 327

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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