Metaheuristics for Business Analytics
A Decision Modeling Approach
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)
September 2018, ca. 136 Seiten, EURO Advanced Tutorials on Operational Research, Englisch
Springer EN
978-3-319-88552-0
Springer EN
978-3-319-88552-0
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)
September 2018, ca. 136 Seiten, EURO Advanced Tutorials on Operational Research, Englisch
Springer EN
978-3-319-88552-0
Springer EN
978-3-319-88552-0
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