3 papers
math.OC2026
A Min-Max Gradient Search Method for Constrained Simulation Optimization
Ruiyang Jin, Siyang Gao, Henry Lam
Constrained simulation optimization (CSO) is a general framework for optimizing stochastic systems under performance constraints. It arises widely in practice where objective and c…
math.OC2026
Query-Efficient Zeroth-Order Algorithms for Nonconvex Constrained Optimization
Ruiyang Jin, Yuke Zhou, Yujie Tang +2
Zeroth-order optimization (ZO) has been a powerful framework for solving black-box problems, which estimates gradients using zeroth-order data to update variables iteratively. The…
math.OC2025
A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization
Yuke Zhou, Ruiyang Jin, Siyang Gao +2
Non-analytical objectives and constraints often arise in control systems, particularly in problems with complex dynamics, which are challenging yet lack efficient solution methods.…