Metaheuristics for Business Analytics A Decision Modeling Approach /

• Main Authors: Duarte, Abraham (Author, http://id.loc.gov/vocabulary/relators/aut), Laguna, Manuel (http://id.loc.gov/vocabulary/relators/aut), Marti, Rafael (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: EURO Advanced Tutorials on Operational Research,
• Subjects: Operations research.; Decision making.; Management science.; Computer simulation.; Operations Research/Decision Theory.; Operations Research, Management Science.; Simulation and Modeling.
• Physical Description: X, 136 p. 25 illus., 2 illus. in color. online resource.
• ISBN: 9783319681191
• ISSN: 2364-687X
• DOI: 10.1007/978-3-319-68119-1

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.