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Soft Computing Applications in Optimization, Control, and Recognition

  • Book
  • © 2013

Overview

Editors:
  1. Patricia Melin

    1. , Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico

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  2. Oscar Castillo

    1. , Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico

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  • Presents the most recent advances in the applications of soft computing techniques to intelligent control, pattern recognition, and optimization of complex problems
  • Introduces new models and algorithms
  • The papers in this book consist of extended versions of selected papers presented by advanced doctoral students at the 2012 IEEE Symposium on Computers & Informatics (ISCI) meeting held in Tijuana, Mexico in May of 2012
  • Written and reviewed by leading experts in the field

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ)

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Table of contents (13 chapters)

  1. Front Matter

    Pages 1-7
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  2. Optimization Methods and Applications

    1. Front Matter

      Pages 1-1
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    2. Optimization of Type-2 and Type-1 Fuzzy Tracking Controllers for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm

      • Leslie Astudillo, Patricia Melin, Oscar Castillo
      Pages 3-26

    3. A Genetic Algorithm for the Problem of Minimal Brauer Chains for Large Exponents

      • Arturo Rodriguez-Cristerna, Jose Torres-Jimenez
      Pages 27-51

    4. Cellular Processing Algorithms

      • J. David Terán-Villanueva, Héctor Joaquín Fraire Huacuja, Juan Martín Carpio Valadez, Rodolfo A. Pazos Rangel, Héctor José Puga Soberanes, José Antonio Martínez Flores
      Pages 53-74

  3. Soft Computing in Intelligent Control Applications

    1. Front Matter

      Pages 75-75
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    2. Hierarchical Genetic Optimization of the Fuzzy Integrator for Navigation of a Mobile Robot

      • Abraham Meléndez, Oscar Castillo
      Pages 77-96

    3. Particle Swarm Optimization for Multi-objective Control Design Using AT2-FLC in FPGA Device

      • Yazmin Maldonado, Oscar Castillo, Patricia Melin
      Pages 97-124

    4. Genetic Optimization of Modular Type-1 Fuzzy Controllers for Complex Control Problems

      • Leticia Cervantes, Oscar Castillo
      Pages 125-154

  4. Soft Computing in Pattern Recognition Applications

    1. Front Matter

      Pages 155-155
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    2. Multi-Objective Hierarchical Genetic Algorithm for Modular Granular Neural Network Optimization

      • Daniela Sánchez, Patricia Melin
      Pages 157-185

    3. Type-2 Fuzzy Weight Adjustment for Backpropagation in Prediction Time Series and Pattern Recognition

      • Fernando Gaxiola, Patricia Melin, Fevrier Valdez
      Pages 187-213

    4. Brain Computer Interface Development Based on Recurrent Neural Networks and ANFIS Systems

      • Emanuel Morales-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Vicente Alarcón-Aquino
      Pages 215-236

  5. Soft Computing: Theory and New Models

    1. Front Matter

      Pages 237-237
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    2. An Analysis of the Relationship between the Size of the Clusters and the Principle of Justifiable Granularity in Clustering Algorithms

      • Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
      Pages 239-263

    3. Type-2 Fuzzy Logic Grammars in Language Evolution

      • Juan Paulo Alvarado-Magaña, Antonio Rodríguez-Díaz, Juan R. Castro, Oscar Castillo
      Pages 265-286

    4. Methodology of Design: A Novel Generic Approach Applied to the Course Timetabling Problem

      • Soria-Alcaraz Jorge A., Carpio Martin, Puga Héctor, Terashima-Marin Hugo, Cruz Reyes Laura, Sotelo-Figueroa Marco A.
      Pages 287-319

    5. High-Performance Architecture for the Modified NSGA-II

      • Josué Domínguez, Oscar Montiel-Ross, Roberto Sepúlveda
      Pages 321-341

  6. Back Matter

    Pages 0--1
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Keywords

About this book

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.

Editors and Affiliations

  • , Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin, Oscar Castillo

Bibliographic Information

  • Book Title: Soft Computing Applications in Optimization, Control, and Recognition

  • Editors: Patricia Melin, Oscar Castillo

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-35323-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-35322-2Published: 14 December 2012

  • Softcover ISBN: 978-3-642-44392-3Published: 29 January 2015

  • eBook ISBN: 978-3-642-35323-9Published: 14 December 2012

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: VIII, 344

  • Topics: Computational Intelligence, Artificial Intelligence, Pattern Recognition

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