Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and ApplicationsКНИГИ » ПРОГРАММИНГ
Название: Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications Автор: Stuart Berry, Val Lowndes, Marcello Trovati Издательство: Springer Год: 2017 Страниц: 396 Формат: PDF Размер: 11 Mb Язык: English
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.
Introduction to Computational Models with Python Название: Introduction to Computational Models with Python Автор: Jose M. Garrido Издательство: CRC Год: 2015 Страниц: 496 Формат: PDF Размер: 10 Mb...
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Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications 
