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Empirically comparing the finite-time performance of simulation-optimization algorithms

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471722138.ch7openalex-snapshot
Simultaneous Perturbation Stochastic Approximation
inferredcites →https://doi.org/10.1007/s101070100263openalex-snapshot
Benchmarking optimization software with performance profiles
inferredcites →https://doi.org/10.1007/s10479-015-2019-xopenalex-snapshot
Simulation optimization: a review of algorithms and applications
inferredcites →https://doi.org/10.1007/s10898-004-9972-2openalex-snapshot
A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems
inferredcites →https://doi.org/10.1007/s10898-012-9951-yopenalex-snapshot
Derivative-free optimization: a review of algorithms and comparison of software implementations
inferredcites →https://doi.org/10.1093/comjnl/7.4.308openalex-snapshot
A Simplex Method for Function Minimization
inferredcites →https://doi.org/10.1109/7.705889openalex-snapshot
Implementation of the simultaneous perturbation algorithm for stochastic optimization
inferredcites →https://doi.org/10.1109/9.119632openalex-snapshot
Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
inferredcites →https://doi.org/10.1109/wsc.2006.323081openalex-snapshot
A Testbed of Simulation-Optimization Problems
inferredcites →https://doi.org/10.1109/wsc.2011.6148097openalex-snapshot
SimOpt: A library of simulation optimization problems
inferredcites →https://doi.org/10.1145/2499913.2499916openalex-snapshot
Integer-Ordered Simulation Optimization using R-SPLINE
inferredcites →https://doi.org/10.1287/ijoc.1120.0498openalex-snapshot
Stochastic Trust-Region Response-Surface Method (STRONG)—A New Response-Surface Framework for Simulation Optimization
inferredcites →https://doi.org/10.1287/mnsc.42.7.954openalex-snapshot
Nelder-Mead Simplex Modifications for Simulation Optimization
inferredcites →https://doi.org/10.1287/opre.1050.0237openalex-snapshot
Discrete Optimization via Simulation Using COMPASS

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4659539openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11075-025-02016-wopenalex-snapshot
An improved randomized algorithm with noise level tuning for large-scale noisy unconstrained DFO problems
inferred← citeshttps://doi.org/10.1016/j.simpat.2024.102923openalex-snapshot
Simulation–optimization configurations for real-time decision-making in fugitive interception
inferred← citeshttps://doi.org/10.1109/wsc40007.2019.9004860openalex-snapshot
Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons
inferred← citeshttps://doi.org/10.1109/wsc63780.2024.10838622openalex-snapshot
Evaluating Solvers for Linearly Constrained Simulation Optimization
inferred← citeshttps://doi.org/10.1109/wsc68292.2025.11339139openalex-snapshot
Performance of LLMS on Stochastic Modeling Operations Research Problems: From Theory to Practice
inferred← citeshttps://doi.org/10.48550/arxiv.2002.09996openalex-snapshot
Practical Bayesian Optimization of Objectives with Conditioning Variables
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