Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Theory and Applications

  • Oscar Castillo
  • Patricia Melin

Part of the Studies in Computational Intelligence book series (SCI, volume 574)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Theory

  3. Applications

    1. Front Matter
      Pages 125-125
    2. Beatriz González, Fevrier Valdez, Patricia Melin, German Prado-Arechiga
      Pages 127-137
    3. Marco Aurelio Sotelo-Figueroa, Héctor José Puga Soberanes, Juan Martín Carpio, Héctor J. Fraire Huacuja, Laura Cruz Reyes, Jorge Alberto Soria Alcaraz
      Pages 151-162
    4. Juan Carlos Vazquez, Fevrier Valdez, Patricia Melin
      Pages 163-178

About this book

Introduction

This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.

Keywords

Fuzzy Logic Fuzzy Logic Augmentation Intelligent Control and Robotics Nature-Inspired Optimization Metaheuristics Optimization of Complex Problems Pattern Recognition Time Series Prediction

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10960-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-10959-6
  • Online ISBN 978-3-319-10960-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book