Editors:
- Includes theoretical, computational and application aspects of stochastic and deterministic global optimization
- Provides recent research results and reviews in global optimization
- Contains contributions from leading scientists in global optimization ?
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 107)
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Table of contents (15 chapters)
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Front Matter
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Theory and Algorithms for Global Optimization
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Front Matter
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Applications of Global Optimization
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Front Matter
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Multi-Objective Global Optimization
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Front Matter
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About this book
This volume is dedicated to the 70th birthday of Antanas Žilinskas whois a leading world expert in global optimization. Professor Žilinskas's research has concentrated on studying models for the objective function, the development and implementation of efficient algorithms for global optimization with single and multiple objectives, and application of algorithms for solving real-world practical problems.
Editors and Affiliations
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Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA
Panos M. Pardalos
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Cardiff School of Mathematics, Cardiff University, Cardiff, United Kingdom
Anatoly Zhigljavsky
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Institute of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania
Julius Žilinskas
Bibliographic Information
Book Title: Advances in Stochastic and Deterministic Global Optimization
Editors: Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-29975-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-29973-0Published: 14 November 2016
Softcover ISBN: 978-3-319-80697-6Published: 23 June 2018
eBook ISBN: 978-3-319-29975-4Published: 04 November 2016
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIII, 296
Number of Illustrations: 27 b/w illustrations, 42 illustrations in colour
Topics: Optimization, Probability Theory and Stochastic Processes, Algorithms, Numerical Analysis, Mathematical Applications in Computer Science