Metaheuristics for Business Analytics A Decision Modeling Approach [Hardcover]

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.Introduction to Spreadsheet Modelling and Metaheuristics.- General Concepts in Metaheuristic Search.- Greedy Randomized Adaptive Search Procedures.- Tabu Search.- Black-box Solvers.Abraham Duarte is an Associate Professor in the Computer Science Department at the Rey Juan Carlos University(Madrid, Spain). He received his doctoral degree in Computer Sciences from the Rey Juan Carlos University. His research is devoted to the development of models and solution methods based on meta-heuristics for combinatorial optimization problems. He has published more than 50 papers in SCI-JCR prestigious scientific journals such us European Journal of Operational Research, INFORMS Journal on Computing, Computational Optimization and Applications, or Computers & Operations Research. Dr. Duarte has also published 11 papers in non-indexed journals, 20 book chapters and more than 70 papers in conference proceedings. He has been the principal investigator on 5 competitive research projects with a total budget of 200000 euros (aprox.), he has been the advisor of 5 doctoral theses, and he is co-inventor of a US patent (US 20100138373 A1). Dr Duarte is reviewer of the Journal of Heuristic, Journal of Mathematical Modeling and Algorithms, INFORMS Journal olN