#robustoptimization kết quả tìm kiếm

#RobustOptimization #Uncertainty #Python I wrote an article titled 'Robust Optimization： Making Decisions Under Uncertainty'. ailogsite.netlify.app/2025/05/03/202…

Developed by @LiuGalen and his team at #cuhksz, HWC-Loco is a hierarchical control framework for #humanoidrobots. With #robustoptimization & whole-body control, it excels in scalability, adaptability & real-world tasks, and serves as a solution for safety-critical applications.

Happy to share this new article on Sampling Methods for Multi-Stage Robust Optimization Problems, available today in Annals of Operations Research, join work with Fabrizio Dabbene and Georg Pflug. link.springer.com/article/10.100… #robustoptimization #constraintsampling

Happy to share this new article "A novel robust optimization model for nonlinear Support Vector Machine" available in European Journal of Operational Reseach, joint work with A. Spinelli: sciencedirect.com/science/articl… #machinelearning #classification #robustoptimization

In our new work, with @matbesancon, we study #robustoptimization problems from an oracle perspective. We develop #FrankWolfe type algorithms applied to a smoothed version of the problem, which converge to an optimal solution within a certain number of oracle calls. 1/n

Our work on data-driven predictions of relevant start scenarios in #robustoptimization is now published and online available: doi.org/10.1016/j.cor.… In our work we tackle (two-stage) robust combinatorial optimization problems which are extremely hard to solve.

The extended version of our work on #DeepLearning for Two-Stage Robust Integer Optimization is available now: arxiv.org/abs/2310.04345 Our new version of the algorithm can tackle two-stage #robustoptimization problems with uncertainty in the constraints and integer decisions.

The next Robust Optimization Webinar will take place this Friday, October 18, at 15:00 (CET). Speaker: Adam Kasperski (Wrocław University of Science and Technology) Title: Recoverable robust shortest path problem #ROW #RobustOptimization

In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability

My presentation on #DeepLearning in #RobustOptimization I gave at the CO@Work workshop is now online (as many of the other talks). youtube.com/watch?v=nX7RLE… Big thanks to Timo Berthold and all other organizers for the invitation and the great organization of the workshop.

Check out 2023 #MostRead paper of TELO, "Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control." bit.ly/3sbOtSj @TELOACM1 #robustoptimization #openaccess

Our paper on using neural networks to speed up solution methods for two-stage robust optimization problems got published now at #ICLR2024 Conference. You can find the updated version here: openreview.net/forum?id=T5Xb0… #robustoptimization #neuralnetworks

Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum Computing #TechRxiv #QuantumComputing #RobustOptimization #VirtualNetworkFunction techrxiv.org/doi/full/10.36…

size matters, in #RobustOptimization. If you are among those who said RO generates conservative solutions, look what your uncertainty set is. We showed in this paper that we can beat even the solution of #stochOpt in different simulations; papers.ssrn.com/sol3/papers.cf…

#Bilevel people looking at #robustoptimization problems @schmaidt @thuerauf_j

Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!

#ODS2023 #Day1 #RobustOptimization Alice Calamita talks about a robust optimization approach relying on Benders decomposition to minimize activation and congestion costs in partial set covering facility location problems @ODS2023 #orms

The next season of the #RobustOptimizationWebinar will start soon! We will have again a list of amazing speakers. You can find out more on our webpage: sites.google.com/view/row-serie… @schmaidt @melvynsim @hri_lefebvre @_estherjulien #ROW #RobustOptimization

smaller than k=n. Interestingly this result also provides approximation guarantees for #recoverable #robustoptimization The results indicate that solving the min-max-min problem (and to some extend the k-adaptability problem) gets easier if k gets larger.

This is actually quite useful in #robustoptimization, where we use this type of duality a lot.

I asked #chatgpt if #robustoptimization is a special case of #bileveloptimization .

Welcome our new Editorial Board Member: Dr. Seyedali Mirjalili @S_Mirjalili from @UnivPoliMarche Research interests: #robustoptimization; #multiobjectiveoptimization; #swarmintelligence; #artificialintelligence; #metaheuristics and #NeuralNetworks

Who is writing something like this in the survey for our @dagstuhl seminar? 🙄😁 #robustoptimization #bileveloptimization

Our first Robust Optimization Webinar will take place next Friday, February 10 at 15:00 (CET) via Zoom. Speaker: Wolfram Wiesemann (Imperial College) Title: Randomized Assortment Optimization #robustoptimization #webinar

Check out 2023 #MostRead paper of TELO, "Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control." bit.ly/3sbOtSj @TELOACM1 #robustoptimization #openaccess

Our next Robust Optimization Webinar takes place this week Friday, 16 June at 15:00 (CET). Speaker: Omar El Housni (Cornell University) Title: Robust Facility Location Problems #ROW #robustoptimization

Great talk by Jose Blanchet @ICERM #RobustOptimization #RareEvents

The next season of the #RobustOptimizationWebinar will start soon! We will have again a list of amazing speakers. You can find out more on our webpage: sites.google.com/view/row-serie… @schmaidt @melvynsim @hri_lefebvre @_estherjulien #ROW #RobustOptimization

Thanks again to @Francy_Maggioni for the rich talk about bounds for Multistage #StochasticOptimization and Distributionally #RobustOptimization! A lot of people from Italy, Brazil, and more attended the first webinar co-organized with @log_ufpb Stay tuned for the next ones😉

#ODS2023 #Day1 #RobustOptimization Alice Calamita talks about a robust optimization approach relying on Benders decomposition to minimize activation and congestion costs in partial set covering facility location problems @ODS2023 #orms

Timo Gersing from @RWTH explaining that robust knapsack with 50 items is already too hard for @IBM_CPLEX and @gurobi to solve in 1hr. But new branching scheme nails it. #INFORMS19 #orms #robustoptimization

In our new work, with @matbesancon, we study #robustoptimization problems from an oracle perspective. We develop #FrankWolfe type algorithms applied to a smoothed version of the problem, which converge to an optimal solution within a certain number of oracle calls. 1/n

We couldn't miss @PTCOG58. Gregory Buti, PhD at @MIRO_uclouvain, presenting innovation strategies for robust optimization. #ProtonTherapy #RobustOptimization #Manchester #PTCOG58

In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability

Our work on data-driven predictions of relevant start scenarios in #robustoptimization is now published and online available: doi.org/10.1016/j.cor.… In our work we tackle (two-stage) robust combinatorial optimization problems which are extremely hard to solve.

The next Robust Optimization Webinar will take place this Friday, October 18, at 15:00 (CET). Speaker: Adam Kasperski (Wrocław University of Science and Technology) Title: Recoverable robust shortest path problem #ROW #RobustOptimization

Our PhD student Gregory Buti presented his work in 'Scenario selection' and 'Dynamic robust optimization' at the RayStation Benelux User Meeting 2019 in Groningen. Very nice talk! @RaySearch #Protons #RobustOptimization #Protontherapy #RaySearch #Reaserch #RayStation

Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!

The extended version of our work on #DeepLearning for Two-Stage Robust Integer Optimization is available now: arxiv.org/abs/2310.04345 Our new version of the algorithm can tackle two-stage #robustoptimization problems with uncertainty in the constraints and integer decisions.

By branching on the discrete values the continuous z-variable can take, we can add valid inequalities that close the gap between the bilinear and the linear formulation. See screenshots! #orms #robustoptimization #informs2019