Metaheuristics for business analytics : a decision modeling approach
Author(s)
Bibliographic Information
Metaheuristics for business analytics : a decision modeling approach
（Euro advanced tutorials on operational research / series editors, M. Grazia Speranza, José Fernando Oliveira）
Springer, c2018
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Introduction to Spreadsheet Modelling and Metaheuristics.- General Concepts in Metaheuristic Search.- Greedy Randomized Adaptive Search Procedures.- Tabu Search.- Black-box Solvers.
by "Nielsen BookData"