Simulation-Based Optimization Parametric Optimization Techniques and Reinforcement Learning /

• Κύριος συγγραφέας: Gosavi, Abhijit (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2015.
• Έκδοση: 2nd ed. 2015.
• Σειρά: Operations Research/Computer Science Interfaces Series, 55
• Θέματα: Business.; Operations research.; Decision making.; Computer simulation.; Management science.; Business and Management.; Operation Research/Decision Theory.; Operations Research, Management Science.; Simulation and Modeling.

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems w...

Πίνακας περιεχομένων:

• Background
• Simulation basics
• Simulation optimization: an overview
• Response surfaces and neural nets
• Parametric optimization
• Dynamic programming
• Reinforcement learning
• Stochastic search for controls
• Convergence: background material
• Convergence: parametric optimization
• Convergence: control optimization
• Case studies.