#robustoptimization hasil pencarian
#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
link.springer.com
Sampling methods for multi-stage robust optimization problems
Annals of Operations Research - In this paper, we consider multi-stage robust optimization problems of the minimax type. We assume that the total uncertainty set is the cartesian product of...
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.
youtube.com
YouTube
Deep Learning in Robust Optimization
Piero Gasparotto et al.: TORO Indexer: a PyTorch-based indexing algorithm for kilohertz serial crystallography #SerialCrystallography #RobustOptimization #RealTimeIndexing ... #IUCr journals.iucr.org/paper?S1600576…
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
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!
Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum Computing #TechRxiv #QuantumComputing #RobustOptimization #VirtualNetworkFunction techrxiv.org/doi/full/10.36…
techrxiv.org
Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum...
A document by Mahzabeen Emu. Click on the document to view its contents.
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.
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