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Metaheuristics and Optimization in Computer and Electrical Engineering

  • Book
  • © 2021

Overview

Editors:
  1. Navid Razmjooy

    1. Tafresh University, Tafresh, Iran

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  2. Mohsen Ashourian

    1. Department of Electrical Engineering, Islamic Azad University (IAU), Majlesi Branch, Isfahan, Iran

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    You can also search for this editor in PubMed   Google Scholar

  3. Zahra Foroozandeh

    1. Faculty of Engineering, University of Porto, Porto, Portugal

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  • Presents a review of meta-heuristic methods and their applications to computer and electrical engineering
  • Explores the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes
  • Includes different case studies in computer and electrical engineering

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 696)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-viii
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  2. Preface

    • Navid Razmjooy
    Pages 1-1

  3. Jaya Algorithm and Applications: A Comprehensive Review

    • Essam H. Houssein, Ahmed G. Gad, Yaser M. Wazery
    Pages 3-24

  4. World Cup Optimization Algorithm: Application for Optimal Control of Pitch Angle in Hybrid Renewable PV/Wind Energy System

    • Navid Razmjooy, Vania V. Estrela, Reinaldo Padilha, Ana Carolina Borges Monteiro
    Pages 25-47

  5. Optimization Techniques in Intelligent Transportation Systems

    • Mehdi Ghatee
    Pages 49-92

  6. Low Power Hilbert Transformer Design Using Multi-objective Seeker Optimization Algorithm

    • Atul Kumar Dwivedi
    Pages 93-116

  7. Metaheuristics Applied to Blood Image Analysis

    • Ana Carolina Borges Monteiro, Reinaldo Padilha França, Vania V. Estrela, Navid Razmjooy, Yuzo Iano, Pablo David Minango Negrete
    Pages 117-135

  8. Optimal Bidding Strategy for Power Market Based on Improved World Cup Optimization Algorithm

    • Navid Razmjooy, Anand Deshpande, Mohsen Khalilpour, Vania V. Estrela, Reinaldo Padilha, Ana Carolina Borges Monteiro
    Pages 137-152

  9. Speed Control of a DC Motor Using PID Controller Based on Improved Whale Optimization Algorithm

    • Navid Razmjooy, Zahra Vahedi, Vania V. Estrela, Reinaldo Padilha, Ana Carolina Borges Monteiro
    Pages 153-167

  10. Skin Color Segmentation Based on Artificial Neural Network Improved by a Modified Grasshopper Optimization Algorithm

    • Navid Razmjooy, Saeid Razmjooy, Zahra Vahedi, Vania V. Estrela, Gabriel Gomes de Oliveira
    Pages 169-185

  11. A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm

    • Navid Razmjooy, Saeid Razmjooy, Zahra Vahedi, Vania V. Estrela, Gabriel Gomes de Oliveira
    Pages 187-202

  12. Design of Self-adaptive Fuzzy Logic Droop Controller for Hybrid Units in Islanded Microgrids

    • V. S. Vakula, B. Damodar Rao
    Pages 203-231

  13. Skin Melanoma Segmentation Using Neural Networks Optimized by Quantum Invasive Weed Optimization Algorithm

    • Navid Razmjooy, Saeid Razmjooy
    Pages 233-250

  14. A Computational Intelligence Perspective on Multimodal Image Registration for Unmanned Aerial Vehicles (UAVs)

    • Vania V. Estrela, Navid Razmjooy, Ana Carolina Borges Monteiro, Reinaldo Padilha França, Maria A. de Jesus, Yuzo Iano
    Pages 251-274

  15. Using Metaheuristics in Discrete-Event Simulation

    • Reinaldo Padilha França, Ana Carolina Borges Monteiro, Vania V. Estrela, Navid Razmjooy
    Pages 275-292

  16. An AWGN Channel Data Transmission Proposal Using Discrete Events for Cloud and Big Data Environments Using Metaheuristic Fundamentals

    • Reinaldo Padilha, Yuzo Iano, Ana Carolina Borges Monteiro, Rangel Arthur
    Pages 293-311
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Keywords

About this book

The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes. 

Editors and Affiliations

  • Tafresh University, Tafresh, Iran

    Navid Razmjooy

  • Department of Electrical Engineering, Islamic Azad University (IAU), Majlesi Branch, Isfahan, Iran

    Mohsen Ashourian

  • Faculty of Engineering, University of Porto, Porto, Portugal

    Zahra Foroozandeh

Bibliographic Information

  • Book Title: Metaheuristics and Optimization in Computer and Electrical Engineering

  • Editors: Navid Razmjooy, Mohsen Ashourian, Zahra Foroozandeh

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-3-030-56689-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-56688-3Published: 17 November 2020

  • Softcover ISBN: 978-3-030-56691-3Published: 17 November 2021

  • eBook ISBN: 978-3-030-56689-0Published: 16 November 2020

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: VIII, 311

  • Number of Illustrations: 38 b/w illustrations, 83 illustrations in colour

  • Topics: Electrical Engineering, Artificial Intelligence, Computational Intelligence

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