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International Series in Operations Research & Management Science

Applying Particle Swarm Optimization

New Solutions and Cases for Optimized Portfolios

Editors: Adıgüzel Mercangöz, Burcu (Ed.)

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  • First book-length treatment of portfolio optimization using particle swarm optimization (PSO)
  • Explains PSO in detail and shows how to apply it
  • Applies PSO to portfolio optimization problems in a range of areas
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eBook $109.00
price for USA in USD
  • ISBN 978-3-030-70281-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-70280-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset.

The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.

About the authors

Burcu Adıgüzel Mercangöz is an Associate Professor of Operations Research at the Faculty of Transportation and Logistics, Istanbul University (Turkey). Her research interests include Quantitative Methods, Multicriteria Decision Analysis, Optimization Techniques, Optimization (Mathematics), Supply Chain Management, Transportation, Logistics, Information Systems, Heuristics, and Meta-Heuristics (Tabu Search, Genetic Algorithms, Simulated Annealing, Ant-Colony, Particle Swarm Optimization).

Table of contents (17 chapters)

Table of contents (17 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-70281-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-70280-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Applying Particle Swarm Optimization
Book Subtitle
New Solutions and Cases for Optimized Portfolios
Editors
  • Burcu Adıgüzel Mercangöz
Series Title
International Series in Operations Research & Management Science
Series Volume
306
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-70281-6
DOI
10.1007/978-3-030-70281-6
Hardcover ISBN
978-3-030-70280-9
Series ISSN
0884-8289
Edition Number
1
Number of Pages
XII, 351
Number of Illustrations
75 b/w illustrations, 10 illustrations in colour
Topics