Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications eBook

Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.

Guide to Computational Modelling for Decision Processes
Theory, Algorithms, Techniques and Applications
This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices.

This is a digital product.

Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications and published by Springer. The Digital and eTextbook ISBNs for Guide to Computational Modelling for Decision Processes are 9783319554174, 3319554174 and the print ISBNs are 9783319554167, 3319554166.