Overview
- Reports on cutting-edge applications of computational intelligence to business and finance
- Describes techniques for modeling, forecasting and decision making
- Cover methods for effective supply chain scheduling
Part of the book series: Modeling and Optimization in Science and Technologies (MOST, volume 18)
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Table of contents (32 chapters)
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Computational Modelling
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Management Optimization
Keywords
- Modeling Dynamic Demand
- Portfolio Optimization Problems
- Macroeconomic Uncertainty
- Epidemic Modeling
- Demand Forecasting
- Domestic product modeling
- Stochastic control methods
- Fuzzy MCDM approach
- Multi-objective evolutionary algorithms
- Multiobjective programming problems
- Software analytics in business
- Supply chain performance
- SCOR model
- Automatic trading systems
- Stock returns modeling
- Vehicle routing problems
- Energy demand models
About this book
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Management
Book Subtitle: Applications of Computational Intelligence in Business Management
Editors: Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain
Series Title: Modeling and Optimization in Science and Technologies
DOI: https://doi.org/10.1007/978-3-030-72929-5
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-72928-8Published: 30 May 2021
Softcover ISBN: 978-3-030-72931-8Published: 31 May 2022
eBook ISBN: 978-3-030-72929-5Published: 29 May 2021
Series ISSN: 2196-7326
Series E-ISSN: 2196-7334
Edition Number: 1
Number of Pages: XVIII, 682
Number of Illustrations: 54 b/w illustrations, 114 illustrations in colour
Topics: Computational Intelligence, Computer Science, general, Optimization