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Updated: Jun 12, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
A review of simulation optimization with connection to artificial intelligence
Yijie Peng1,2, Chun-Hung Chen3, Michael C Fu4
1PKU-WUHAN Institute for Artificial Intelligence, Guanghua School of Management, Peking University, Beijing 100871, China.
Abstract:
We review simulation optimization methods and their connection with artificial intelligence (AI) techniques. In particular, we focus on two areas: stochastic gradient estimation, which plays a central role in training neural networks for deep learning and reinforcement learning; and ranking and selection, which can be used as the node selection policy in Monte Carlo tree search. We also review the literature on inventory management, which has been studied in both simulation optimization and AI.
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