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Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
Boukouvala, Fani; Misener, Ruth; Floudas, Christodoulos A. - In: European journal of operational research : EJOR 252 (2016) 3, pp. 701-727
Persistent link: https://www.econbiz.de/10011472299
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Mixed-integer convex nonlinear optimization with gradient-boosted trees embedded
Mistry, Miten; Letsios, Dimitrios; Krennrich, Gerhard; … - In: INFORMS journal on computing : JOC 33 (2021) 3, pp. 1103-1119
Persistent link: https://www.econbiz.de/10012631656
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Exact lexicographic scheduling and approximate rescheduling
Letsios, Dimitrios; Mistry, Miten; Misener, Ruth - In: European journal of operational research : EJOR 290 (2021) 2, pp. 469-478
Persistent link: https://www.econbiz.de/10012495197
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On the information-based complexity of stochastic programming
Tavares, Gabriela; Parpas, Panos - In: Operations research letters 41 (2013) 6, pp. 622-626
Persistent link: https://www.econbiz.de/10010236083
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Editorial to computational techniques in management science
Parpas, Panos; Wiesemann, Wolfram - In: Computational Management Science : CMS 11 (2014) 1/2, pp. 3-4
Persistent link: https://www.econbiz.de/10010251222
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Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos; Ustun, Berk; Webster, Mort; Tran, Quang Kha - In: INFORMS journal on computing : JOC 27 (2015) 2, pp. 358-377
Persistent link: https://www.econbiz.de/10011291297
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An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
Webster, Mort; Santen, Nidhi; Parpas, Panos - In: Computational Management Science : CMS 9 (2012) 3, pp. 339-362
Persistent link: https://www.econbiz.de/10009582634