Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Metaheuristics for Business Analytics : A Decision Modeling Approach, Paperback / softback Book

Metaheuristics for Business Analytics : A Decision Modeling Approach Paperback / softback

Part of the EURO Advanced Tutorials on Operational Research series

Paperback / softback

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.

Information

  • Format:Paperback / softback
  • Pages:136 pages, 2 Illustrations, color; 23 Illustrations, black and white; X, 136 p. 25 illus., 2 illus.
  • Publisher:Springer International Publishing AG
  • Publication Date:
  • Category:
  • ISBN:9783319885520

Other Formats

Save 16%

£43.99

£36.95

Item not Available
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

  • Format:Paperback / softback
  • Pages:136 pages, 2 Illustrations, color; 23 Illustrations, black and white; X, 136 p. 25 illus., 2 illus.
  • Publisher:Springer International Publishing AG
  • Publication Date:
  • Category:
  • ISBN:9783319885520

Also in the EURO Advanced Tutorials on Operational Research series  |  View all