Guide to computational modelling for decision processes : theory, algorithms, techniques and applications /

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Bibliographic Details
Imprint:	Cham, Switzerland : Springer, [2017]
Description:	1 online resource : illustrations
Language:	English
Series:	Simulation foundations, methods and applications Simulation foundations, methods and applications.
Subject:	Computer algorithms. Computer simulation. Heuristic algorithms. Geometry, Analytic. Computer algorithms. Computer simulation. Geometry, Analytic. Heuristic algorithms.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11273339

Hidden Bibliographic Details
Other authors / contributors:	Berry, Stuart, editor. Lowndes, Val, editor. Trovati, Marcello, editor.
ISBN:	9783319554174 3319554174 9783319554167 3319554166
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed April 19, 2017).
Summary:	This interdisciplinary reference and guide provides an introduction to modelling 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 modelling methods and tools, including heuristic and mathematical programming-based models, and queuing 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 queuing theory Reviews examples incorporating system dynamics modelling, cellular automata and agent-based simulations, and the use of big data Contains appendices covering queuing theory, function optimization techniques, Boolean and fuzzy logic, and transport modelling Describes simulation for the evaluation of production planning and control methods, and a model for matching services with users in opportunistic network environments Researchers, practitioners and students in computer science, engineering and business studies will find this work to be an invaluable and in-depth introduction to the use of simulation techniques in the analysis of large and complex problems, in addition to providing an exhaustive description of the theoretical framework and applications being developed to address such problems.
Other form:	Print version: Guide to computational modelling for decision processes. Cham, Switzerland : Springer, [2017] 3319554166 9783319554167
Standard no.:	10.1007/978-3-319-55417-4

Table of Contents:

Part I: Introduction to Modelling and Model Evaluation
Model Building
Introduction to Cellular Automata in Simulation
Introduction to Mathematical Programming
Heuristic Techniques in Optimisation
Introduction to the Use of Queueing Theory and Simulation
Part II: Case Studies
Case Studies: Using Heuristics
Further Use of Heuristic Methods
Air Traffic Controllers Planning: A Rostering Problem
Solving Multiple Objective Problems: Modelling Diet Problems
Fuzzy Scheduling Applied to Small Manufacturing Firms
The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods
System Dynamics Case Studies
Applying Queueing Theory to the Design of a Traffic Light Controller
Cellular Automata and Agents in Simulations
Three Big Data Case Studies
Part III: Appendices
Appendix A: Queueing Theory
Appendix B: Function Optimisation Techniques: Genetic Algorithms and Tabu Searches
Appendix C: What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firms
Appendix D: Defining Boolean and Fuzzy Logic Operators
Appendix E: Assessing the Reinstated Waverley Line
Appendix F: Matching Services with Users in Opportunistic Network Environments.

Guide to computational modelling for decision processes : theory, algorithms, techniques and applications /

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