Metaheuristics for Business Analytics

A Decision Modeling Approach

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Computers
Cover of the book Metaheuristics for Business Analytics by Abraham Duarte, Manuel Laguna, Rafael Marti, Springer International Publishing
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Author: Abraham Duarte, Manuel Laguna, Rafael Marti ISBN: 9783319681191
Publisher: Springer International Publishing Publication: November 24, 2017
Imprint: Springer Language: English
Author: Abraham Duarte, Manuel Laguna, Rafael Marti
ISBN: 9783319681191
Publisher: Springer International Publishing
Publication: November 24, 2017
Imprint: Springer
Language: English

This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code.

Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code.

Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.

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