Non-Convex Multi-Objective Optimization

Author:   Panos M. Pardalos ,  Antanas Zilinskas ,  Julius Zilinskas
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   123
ISBN:  

9783319610054


Pages:   192
Publication Date:   09 August 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Non-Convex Multi-Objective Optimization


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Author:   Panos M. Pardalos ,  Antanas Zilinskas ,  Julius Zilinskas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   123
Weight:   4.321kg
ISBN:  

9783319610054


ISBN 10:   3319610058
Pages:   192
Publication Date:   09 August 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Definitions and Examples.- 2. Scalarization.- 3. Approximation and Complexity.- 4. A Brief Review of Non-Convex Single-Objective Optimization.- 5. Multi-Objective Branch and Bound.- 6. Worst-Case Optimal Algorithms.- 7. Statistical Models Based Algorithms.- 8. Probabilistic Bounds in Multi-Objective Optimization.- 9. Visualization of a Set of Pareto Optimal Decisions.- 10. Multi-Objective Optimization Aided Visualization of Business Process Diagrams. –References.- Index.

Reviews

“Readers will definitely enjoy this book, because all surveyed topics are rigorously exposed. Moreover, since the main prerequisites are provided, the book is essentially self-contained and easy to read. The authors have also included many illustrative pictures that ensure a good understanding of technical concepts and results. … this book is an excellent reference for researchers and graduate students in both pure and applied mathematics, as well as other disciplines.” (Nicolae Popovici, Mathematical Reviews, August, 2018)​


Readers will definitely enjoy this book, because all surveyed topics are rigorously exposed. Moreover, since the main prerequisites are provided, the book is essentially self-contained and easy to read. The authors have also included many illustrative pictures that ensure a good understanding of technical concepts and results. ... this book is an excellent reference for researchers and graduate students in both pure and applied mathematics, as well as other disciplines. (Nicolae Popovici, Mathematical Reviews, August, 2018)


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