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Guide to Computational Modelling for Decision Processes

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Guide to Computational Modelling for Decision Processes

Theory, Algorithms, Techniques and Applications

Stuart Berry, Val Lowndes, Marcello Trovati

Springer
Collection: Simulation Foundations, Methods and Applications
Publication date : 2017-04-13

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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.

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About the book

Author

Stuart Berry , Val Lowndes , Marcello Trovati

Imprint

Springer

Collection

Simulation Foundations, Methods and Applications

Publication date

2017-04-13

Pages

396 pages

Print ISBN

9783319554167

Language

English

Ebook informations

EAN PDF

9783319554174

Price

£44.99

Copy count 3

Print count 39

File size 11715 Ko

Informations accessibility

EAN EPUB

9783319554174

Price

£44.99

Copy count 3

Print count 39

File size 5632 Ko

Informations accessibility

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About author(s)

Stuart Berry

Val Lowndes

Marcello Trovati

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