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Guide to Computational Modelling for Decision Processes
Theory, Algorithms, Techniques and Applications
52,95 €
+ 105 points
Description
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.
Spécifications
Parties prenantes
- Editeur:
Contenu
- Nombre de pages :
- 396
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783319856544
- Date de parution :
- 09-05-18
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 154 mm x 235 mm
- Poids :
- 793 g
