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.
1133658147
Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.
Metaheuristics for Business Analytics: A Decision Modeling Approach
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.
Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.
54.99
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Metaheuristics for Business Analytics: A Decision Modeling Approach

Metaheuristics for Business Analytics: A Decision Modeling Approach
eBook(1st ed. 2018)
$54.99
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54.99
In Stock
Product Details
ISBN-13: | 9783319681191 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 11/24/2017 |
Series: | EURO Advanced Tutorials on Operational Research |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 2 MB |
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