Metaheuristics for Business Analytics
A Decision Modeling Approach
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Beschreibung
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.
Explains metaheuristics at a basic level for easy understanding
Allows master's students with various backgrounds to understand and apply these techniques to decision-making problems in business analytics
No previous knowledge of programming languages such as Java or C++ is required
Introduces the concepts in a familiar environment (Microsoft Excel)
Explains metaheuristics at a basic level for easy understanding Allows master's students with various backgrounds to understand and apply these techniques to decision-making problems in business analytics No previous knowledge of programming languages such as Java or C++ is required Introduces the concepts in a familiar environment (Microsoft Excel) Includes supplementary material: sn.pub/extras
Autor*in
Abraham Duarte
Themen in »Metaheuristics for Business Analytics«
Data mining GRASP Metaheuristic solutions for business analytics Predictive analysis Prescriptive analysis Single-solution search