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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
17.
Simulation Optimization
17.1.
Problem Formulation
17.1.1.
Objective Functions
17.1.2.
Decision Variables
17.1.3.
Constraints
17.1.4.
Stochastic Optimization
17.2.
Optimization Methods for Simulation
17.2.1.
Gradient-Based Methods
17.2.2.
Derivative-Free Methods
17.2.3.
Metaheuristic Algorithms
17.2.4.
Simulation-Based Optimization
17.3.
Ranking and Selection Procedures
17.3.1.
Indifference Zone Approach
17.3.2.
Bayesian Approach
17.3.3.
Multiple Comparison Procedures
17.4.
Response Surface Optimization
17.4.1.
Sequential Optimization
17.4.2.
Trust Region Methods
17.4.3.
Evolutionary Operation
17.5.
Metaheuristic Methods
17.5.1.
Genetic Algorithms
17.5.2.
Simulated Annealing
17.5.3.
Tabu Search
17.5.4.
Particle Swarm Optimization
17.6.
Multi-Objective Optimization
17.6.1.
Pareto Optimality
17.6.2.
Weighted Sum Methods
17.6.3.
Evolutionary Multi-Objective Optimization
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16. Experimental Design for Simulation
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18. Advanced Simulation Topics