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Metaheuristics Algorithms in Power Systems

  • Erik Cuevas
  • Emilio Barocio Espejo
  • Arturo Conde Enríquez

Part of the Studies in Computational Intelligence book series (SCI, volume 822)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 1-8
  3. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 9-22
  4. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 23-59
  5. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 61-110
  6. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 111-136
  7. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 137-166
  8. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 167-185
  9. Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
    Pages 187-210
  10. Back Matter
    Pages 211-221

About this book

Introduction

This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

Keywords

Power Systems Metaheuristic Methods Evolutionary Computation Computational Intelligence Metaheuristic Computation

Authors and affiliations

  • Erik Cuevas
    • 1
  • Emilio Barocio Espejo
    • 2
  • Arturo Conde Enríquez
    • 3
  1. 1.Departamento de Electrónica, CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  2. 2.CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  3. 3.Universidad Autónoma de Nuevo LeónSan Nicolás de los GarzaMexico

Bibliographic information

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