Metaheuristics for Business Analytics

A Decision Modeling Approach

Textbook © 2018

 

Springer Link

Duarte, Abraham, Laguna, Manuel, Marti, Rafael


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.

Keywords: Data mining, GRASP, Metaheuristic solutions for business analytics, Predictive analysis, Prescriptive analysis, Single-solution search



Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 International License and the GNU Free Documentation License (unversioned, with no invariant sections, front-cover texts, or back-cover texts).

Privacy Policy.

EURO-Online login

 

 

EJOR EJCO
EJDP EJTL