Metaheuristics for Business Analytics

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)
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.