Online Supplement to “An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems”
نویسندگان
چکیده
Jie Xu Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030, USA, [email protected] Barry L. Nelson Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL 60208-3119, USA, [email protected] L. Jeff Hong Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China, [email protected]
منابع مشابه
An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems
W propose an adaptive hyperbox algorithm (AHA), which is an instance of a locally convergent, random search algorithm for solving discrete optimization via simulation problems. Compared to the COMPASS algorithm, AHA is more efficient in high-dimensional problems. By analyzing models of the behavior of COMPASS and AHA, we show why COMPASS slows down significantly as dimension increases, whereas ...
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