Recent Advances on Hybrid Intelligent Systems

  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 451)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Hybrid Intelligent Systems for Control and Robotics

  3. Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction

    1. Front Matter
      Pages 105-105
    2. Emmanuel Morales-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Vicente Alarcón-Aquino
      Pages 135-146
    3. Felicitas Perez-Ornelas, Olivia Mendoza, Patricia Melin, Juan R. Castro
      Pages 147-157
    4. Manuel Leobardo Zavala-Arriaza, Fevrier Valdez, Patricia Melin
      Pages 211-219
  4. Bio-inspired and Genetic Optimization Methods

    1. Front Matter
      Pages 221-221
    2. Juan Carlos Vazquez, Fevrier Valdez, Patricia Melin
      Pages 223-235
    3. Héctor Neyoy, Oscar Castillo, José Soria
      Pages 259-271
    4. Francisco Javier Díaz-Delgadillo, Oscar Montiel-Ross, Roberto Sepúlveda
      Pages 273-288
    5. A. Soria-Alcaraz Jorge, Carpio Martín, Puga Héctor, Marco Aurelio Sotelo-Figueroa
      Pages 289-302
    6. Christian Huizar, Oscar Montiel-Ross, Roberto Sepúlveda, Francisco Javier Díaz Delgadillo
      Pages 303-312
  5. Intelligent Optimization Methods and Applications

    1. Front Matter
      Pages 333-333
    2. Claudia G. Gómez S., Eduardo R. Fernández Gonzalez, Laura Cruz Reyes, S. Samantha Bastiani M., Gilberto Rivera Z., Victoria Ruız M.
      Pages 335-348
    3. Marco Aurelio Sotelo-Figueroa, Héctor José Puga Soberanes, Juan Martín Carpio, Héctor J. Fraire Huacuja, Laura Cruz Reyes, Jorge Alberto Soria Alcaraz
      Pages 349-359
    4. Marcela Quiroz C., Laura Cruz-Reyes, José Torres-Jiménez, Claudia G. Gómez S., Héctor J. Fraire H., Patricia Melin
      Pages 361-375
    5. Laura Cruz-Reyes, Fausto A. Balderas J., Cesar Medina T., Fernando López I., Claudia G. Gómez S., Ma. Lucila Morales R.
      Pages 377-391
    6. Laura Cruz-Reyes, Paula Hernández H., Patricia Melin, Héctor J. Fraire H., Julio Mar O.
      Pages 393-408
    7. Alberto Ochoa-Zezzatti, Ruben Jaramillo, Sandra Bustillos, Nemesio Castillo, José Martínez, Samantha Bastiani et al.
      Pages 409-416
    8. Gilberto Rivera, Claudia G. Gómez, Eduardo R. Fernández, Laura Cruz, Oscar Castillo, Samantha S. Bastiani
      Pages 417-430
  6. Evolutionary Methods and Intelligent Computing

    1. Front Matter
      Pages 431-431
    2. Mario I. Chacon-Murguia, Jorge A. Cardona-Soto
      Pages 433-449
    3. Josué Domínguez, Oscar Montiel, Roberto Sepúlveda, Nataly Medina
      Pages 451-461
    4. Rodolfo A. Pazos R., Juan J. González B., Marco A. Aguirre L., José A. Martínez F., Héctor J. Fraire H.
      Pages 463-480
    5. Arturo Rodriguez-Cristerna, Jose Torres-Jimenez
      Pages 481-500
    6. Juan Paulo Alvarado-Magaña, Antonio Rodríguez-Díaz, Juan R. Castro, Oscar Castillo
      Pages 501-515
    7. J. David Terán-Villanueva, Héctor Joaquín Fraire Huacuja, Juan Martín Carpio Valadez, Rodolfo A. Pazos R., Héctor José Puga Soberanes, José Antonio Martínez Flores
      Pages 517-532
    8. Xochilt Ramírez-García, Mario García-Valdez
      Pages 533-546
  7. Back Matter
    Pages 0--1

About this book


This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.



Bio-inspired Models Computational Intelligence Hybrid Intelligent Systems Mobile Robotics Pattern Recognition Soft Computing for Control Time Series Prediction

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Chula VistaUSA
  2. 2.Chula VistaUSA
  3. 3.Systems Research InstitutePolish Academy of SciencesWarszawaPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-33020-9
  • Online ISBN 978-3-642-33021-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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