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Recent Metaheuristics Algorithms for Parameter Identification

  • Erik Cuevas
  • Jorge Gálvez
  • Omar Avalos
Book
  • 938 Downloads

Part of the Studies in Computational Intelligence book series (SCI, volume 854)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 1-8
  3. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 9-25
  4. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 27-49
  5. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 135-181
  6. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 183-243
  7. Erik Cuevas, Jorge Gálvez, Omar Avalos
    Pages 245-277
  8. Back Matter
    Pages 279-297

About this book

Introduction

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.

Keywords

Metaheuristic Methods Identification Systems Gravitational Search Algorithm Crow Search Algorithm Energy Evolutionary Computation

Authors and affiliations

  • Erik Cuevas
    • 1
  • Jorge Gálvez
    • 2
  • Omar Avalos
    • 3
  1. 1.CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  2. 2.CUCEIUniversidad de GuadalajaraMexicoMexico
  3. 3.CUCEIUniversidad de GuadalajaraGuadalajaraMexico

Bibliographic information