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Guide to Computational Modelling for Decision Processes, Softcover reprint of the original 1st ed. 2017 Theory, Algorithms, Techniques and Applications Simulation Foundations, Methods and Applications Series

Langue : Anglais

Coordonnateurs : Berry Stuart, Lowndes Val, Trovati Marcello

Couverture de l’ouvrage Guide to Computational Modelling for Decision Processes
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.

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.

Dr. Stuart Berry is a lecturer in the Department of Computing and Mathematics at the University of Derby, UK. Dr. Marcello Trovati is a Senior Lecturer at the same institution. He is also a co-editor of the Springer titles Guide to Security Assurance for Cloud Computing and Big-Data Analytics and Cloud ComputingVal Lowndes is a Chartered Mathematician, who formerly worked at the University of Derby.

Introduces modelling methodologies and models to enable the derivation of efficient and effective ways to produce good solutions Presents a series of case studies demonstrating how heuristic and analytical approaches may be used to solve large and complex problems Includes appendices covering queuing theory, function optimisation techniques, simulation for evaluation of PP&C systems, Boolean and fuzzy logic, transport modelling, and opportunistic networks Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 396 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

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Date de parution :

Ouvrage de 396 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

Ajouter au panier