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In: Handbook of Simulation Optimization
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DOI: 10.1007/978-1-4939-1384-8_1
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Cited by:
- Eric Larsen & Sébastien Lachapelle & Yoshua Bengio & Emma Frejinger & Simon Lacoste-Julien & Andrea Lodi, 2022. "Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 227-242, January.
- Tsai, Shing Chih & Yeh, Yingchieh & Kuo, Chen Yun, 2021. "Efficient optimization algorithms for surgical scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 293(2), pages 579-593.
- Goel, Sumit & Goyal, Amit, 2023.
"Optimal tie-breaking rules,"
Journal of Mathematical Economics, Elsevier, vol. 108(C).
- Sumit Goel & Amit Goyal, 2023. "Optimal tie-breaking rules," Papers 2304.13866, arXiv.org, revised Aug 2023.
- David J. Eckman & Shane G. Henderson & Sara Shashaani, 2023. "Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 350-367, March.
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Keywords
Response Surface Methodology; Stochastic Approximation; Simulation Optimization; Stochastic Programming Problem; Simultaneous Perturbation Stochastic Approximation;All these keywords.
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