Loading...

Meta-model Based Simulation Optimization under Uncertainty

Ansari Hadipour, Mehdi | 2018

637 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50563 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Mahlooji, Hashem
  7. Abstract:
  8. In this research we will develop an algorithm to find the optimal robust solution via simulation optimization by using an artificial neural network metamodel. Following Taghuchi, in design phase of the algorithm, we will discriminate between decision or control variables and environmental or noise variables. To arrive of the best new solution in every iteration, the algorithm will use a symmetrical probabilistic distribution about the optimum point of the previous iteration. In comparison with the existing methods, our algorithm displays an improvement in results when applied to such problems as single channel queueing system problem and economic order quantity problem
  9. Keywords:
  10. Metamodel ; Economic Order Quantity (EOQ) ; Queueing System ; Experiments Design ; Artificial Neural Network ; Uncertainty ; Robust Simulation Optimization

 Digital Object List

 Bookmark

No TOC