Guide to Computational Modelling for Decision Processes Theory, Algorithms, Techniques and Applications /
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Edition: | 1st ed. 2017. |
| Series: | Simulation Foundations, Methods and Applications,
|
| Subjects: | |
| Online Access: | https://doi.org/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.