Springer Optimization and Its Applications

Non-Convex Multi-Objective Optimization

Authors: Pardalos, Panos M., Žilinskas, Antanas, Žilinskas, Julius

  • Summarizes non-convex multi-objective optimization problems and methods
  • Supplies comprehensive coverage, theoretical background, and examples of practical applications
  • Explains several directions of multi-objective optimization research  
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Hardcover $99.00
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  • ISBN 978-3-319-61005-4
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  • Usually dispatched within 3 to 5 business days.
About this book

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and business management.  

Table of contents (10 chapters)

  • Definitions and Examples

    Pardalos, Panos M. (et al.)

    Pages 3-12

  • Scalarization

    Pardalos, Panos M. (et al.)

    Pages 13-18

  • Approximation and Complexity

    Pardalos, Panos M. (et al.)

    Pages 19-31

  • A Brief Review of Non-convex Single-Objective Optimization

    Pardalos, Panos M. (et al.)

    Pages 33-42

  • Multi-Objective Branch and Bound

    Pardalos, Panos M. (et al.)

    Pages 45-56

Buy this book

Hardcover $99.00
price for USA
  • ISBN 978-3-319-61005-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Non-Convex Multi-Objective Optimization
Authors
Series Title
Springer Optimization and Its Applications
Series Volume
123
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
Hardcover ISBN
978-3-319-61005-4
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XII, 192
Number of Illustrations and Tables
14 b/w illustrations, 4 illustrations in colour
Topics