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Metaheuristics for Business Analytics: A Decision Modeling Approach

✍ Scribed by Abraham Duarte,Manuel Laguna,Rafael Marti (auth.)


Publisher
Springer International Publishing
Year
2018
Tongue
English
Leaves
142
Series
EURO Advanced Tutorials on Operational Research
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter ....Pages i-x
Introduction to Spreadsheet Modeling and Metaheuristics (Abraham Duarte, Manuel Laguna, Rafael MartΓ­)....Pages 1-27
General Concepts in Metaheuristic Search (Abraham Duarte, Manuel Laguna, Rafael MartΓ­)....Pages 29-55
Greedy Randomized Adaptive Search Procedures (Abraham Duarte, Manuel Laguna, Rafael MartΓ­)....Pages 57-83
Tabu Search (Abraham Duarte, Manuel Laguna, Rafael MartΓ­)....Pages 85-103
Black-Box Solvers (Abraham Duarte, Manuel Laguna, Rafael MartΓ­)....Pages 105-136

✦ Subjects


Operation Research/Decision Theory


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