Non-Convex Multi-Objective Optimization

Language: English

Published by Springer, Palgrave Macmillan Aug 2017, 2017

3319610058 / 9783319610054

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 204 pp. Englisch.

Seller Inventory # 9783319610054

Title
Non-Convex Multi-Objective Optimization
Author
Panos M. Pardalos
Publisher
Springer, Palgrave Macmillan Aug 2017
Publication year
2017
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319610058
ISBN 13
9783319610054
Item weight
477 grams
Dimensions
241x160x17 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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