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Multi-Objective Optimization Problems

Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

  • Fran Sérgio Lobato
  • Valder Steffen Jr.

Part of the SpringerBriefs in Mathematics book series (BRIEFSMATH)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Fran Sérgio Lobato, Valder Steffen Jr.
    Pages 1-5
  3. Basic Concepts

    1. Front Matter
      Pages 7-7
    2. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 9-23
    3. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 25-44
  4. Methodology

    1. Front Matter
      Pages 45-45
    2. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 47-73
  5. Applications

    1. Front Matter
      Pages 75-75
    2. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 77-108
    3. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 109-152
  6. Final Considerations

    1. Front Matter
      Pages 153-153
    2. Fran Sérgio Lobato, Valder Steffen Jr.
      Pages 155-157
  7. Back Matter
    Pages 159-160

About this book

Introduction


Keywords

Multi-objective optimization Differential evolution Self-adaptive parameters MOOP MOP Evolutionary algorithms Genetic Algorithms SA-MODE SBMAC

Authors and affiliations

  • Fran Sérgio Lobato
    • 1
  • Valder Steffen Jr.
    • 2
  1. 1.School of Chemical EngineeringFederal University of UberlândiaUberlândiaBrazil
  2. 2.School of Mechanical EngineeringFederal University of UberlândiaUberlândiaBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-58565-9
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-58564-2
  • Online ISBN 978-3-319-58565-9
  • Series Print ISSN 2191-8198
  • Series Online ISSN 2191-8201
  • Buy this book on publisher's site