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Computer Science
System Modeling
System Modeling and Simulation
1. Introduction to System Modeling and Simulation
2. System Theory Fundamentals
3. Model Theory and Concepts
4. Simulation Fundamentals
5. The Simulation Study Methodology
6. Discrete-Event Simulation
7. Continuous Simulation
8. System Dynamics
9. Agent-Based Modeling
10. Monte Carlo Simulation
11. Hybrid and Multi-Paradigm Simulation
12. Input Modeling and Data Analysis
13. Random Number and Variate Generation
14. Model Verification and Validation
15. Output Analysis and Statistical Methods
16. Experimental Design for Simulation
17. Simulation Optimization
18. Advanced Simulation Topics
19. Simulation Software and Tools
20. Visualization and Animation
21. Applications and Case Studies
22. Professional Practice and Ethics
Simulation Optimization
Problem Formulation
Objective Functions
Decision Variables
Constraints
Stochastic Optimization
Optimization Methods for Simulation
Gradient-Based Methods
Derivative-Free Methods
Metaheuristic Algorithms
Simulation-Based Optimization
Ranking and Selection Procedures
Indifference Zone Approach
Bayesian Approach
Multiple Comparison Procedures
Response Surface Optimization
Sequential Optimization
Trust Region Methods
Evolutionary Operation
Metaheuristic Methods
Genetic Algorithms
Simulated Annealing
Tabu Search
Particle Swarm Optimization
Multi-Objective Optimization
Pareto Optimality
Weighted Sum Methods
Evolutionary Multi-Objective Optimization
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16. Experimental Design for Simulation
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18. Advanced Simulation Topics