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Simulation Foundations, Methods and Applications Ser.: Guide to Computational Modelling for Decision Processes : Theory, Algorithms, Techniques and Applications by Val Lowndes (2017, Hardcover)
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About this product
Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-103319554166
ISBN-139783319554167
eBay Product ID (ePID)237553702
Product Key Features
Number of PagesXii, 396 Pages
Publication NameGuide to Computational Modelling for Decision Processes : Theory, Algorithms, Techniques and Applications
LanguageEnglish
SubjectProgramming / Algorithms, Decision-Making & Problem Solving, Computer Simulation, Operations Research
Publication Year2017
TypeTextbook
AuthorVal Lowndes
Subject AreaComputers, Business & Economics
SeriesSimulation Foundations, Methods and Applications Ser.
FormatHardcover
Dimensions
Item Weight284.7 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal003.56
Table Of ContentPart 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.
SynopsisThis 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.
LC Classification NumberQA76.9.C65
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