Top Tweets for #stochasticprogramming
📉 –4.69M or –5.26M?
Same production problem.
Different assumptions about uncertainty.
Here’s why stochastic modeling wins 👇
👉 https://t.co/XjyjXhPfeV
#ProductionPlanning #StochasticProgramming #MetalIndustry
Maria Bazotte (@MBazotte), one of our brilliant PhD students at the SCALE-AI Chair at @polymtl, has just been awarded the Dupačová-Prékopa Best Student Paper Prize in #StochasticProgramming at #ICSP2025!
Subject to: Laureano Escudero (Universidad Rey Juan Carlos, Spain), https://t.co/2U0LSZHOaE, #orms #optimization #Analytics #stochasticprogramming @SEIO_ES @urjc @EWGSO @IBMResearch @iberdrola
🔍 Learn how to handle infeasible scenarios in stochastic programming using penalty terms or chance constraints. Author: Thana B. #StochasticProgramming #Optimization #MonteCarloModeling https://t.co/6RL5CD5IDY
Plenary talk
Jim Luedtke (@jim_luedtke)
U. Wisconsin-Madison (@UWMadison), USA
"Generator Expansion to Improve Power Grid Resiliency and Efficiency: A Case Study in Location Analysis
Under Uncertainty"
#StochasticProgramming #NonLinearOpt #MachineLearning
Dr Michael A H Dempster: "Bill Ziemba's legacy consists of a wide range of contributions to the literature ranging from pure mathematics and theoretical physics to engineering, economics, politics, finance and professional baseball."
#StochasticProgramming #RiskManagement
#OpenAccess #Paper only for 50 days by Jesús D. Gómez, Jesús Mª Latorre & Andrés Ramos, researchers at @IIT_Comillas @Comillas_ICAI @UCOMILLAS, et al.
https://t.co/Y8F1VIVYaO
#Timeseries #Fourieranalysis #Optimizationmethods #Stochasticprogramming #SDDP #Samplingmethods
Dive into the World of Multistage Stochastic Programs 📊: Ever heard of Epi-convergent Discretizations? 🔄 These cutting-edge techniques ensure convergence to optimal solutions, providing a robust framework for decision-making under uncertainty. #StochasticProgramming #Optimization @elonmusk
The 2nd Copenhagen PhD School of Stochastic Programming will take place during the days before EURO 2024. Guest lecturers:
- @Francy_Maggioni
- Asgeir Tomasgard
- Alois Pichler
- Michal Kaut
Info and registration https://t.co/FnqRGOOAwB
#StochasticProgramming #Optimization
#ODS2023 #Day4 #StochasticProgramming
Daniele Manerba talks about a VRP with divisible delivery and pickups where the optional return demand is subject to uncertain positive variations as in realistic scenarios in the context of reverse logistics @ODS2023 #orms
#ODS2023 #Day4 #StochasticProgramming
Andrea Spinelli uses a rolling-horizon approach to tackle a multi-stage stochastic model for the waste collection problem @ODS2023 #orms
#ODS2023 #Day4 #StochasticProgramming
Sara Stoia shows how to frame into a Markov Decision Process a Dynamic Pickup and Delivery Problem with crowd-shipping and time-dependent travel times in order to apply Approximate Dynamic Programming @ODS2023 #orms
#ODS2023 #Day4 #StochasticProgramming
Dario Bezzi shows a two-stage stochastic
programming formulation for the Electric Vehicle VRP with stochastic energy consumption and presents a heuristic based on a threshold recourse policy @ODS2023 #orms
Subject to: Francesca Maggioni (University of Bergamo, Italy), https://t.co/7rn39Z8TYR, #orms #optimization #Analytics #stochasticprogramming #WomenInSTEM @Francy_Maggioni @UniBergamo
Subject to: Andy Philpott (University of Auckland, New Zealand), https://t.co/fHfzaEQ6Li, #orms #optimization #Analytics #stochasticprogramming #energy @AucklandUni
#Daily_Share #highlycitedpaper
"A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software"
#Views: 2114
#Citations: 6
https://t.co/4ZySWa2Pem #mdpialgorithms via @ComSciMath_Mdpi
#stochasticprogramming #softwarebenchmark
We are pleased to announce the triennial Dupačová-Prékopa Best Student Paper Prize in Stochastic Programming which will be given in recognition of the most outstanding student-authored paper(s) in #StochasticProgramming to be awarded at ICSP @ucdavis!
#Daily_Share
📢 Welcome to read the Top Cited Papers in 2022
(https://t.co/QilgpgZflO)
📗 "A Review on the Performance of Linear and Mixed Integer Two-Stage #StochasticProgramming Software"
#Views: 1551
#Citations: 5
https://t.co/GQgPHYYRUZ via @ComSciMath_Mdpi
Join us this summer for the flagship conference on #StochasticProgramming @ucdavis ! Amazing lineup of plenary and keynote speakers!
We will also have a day of tutorials on end-to-end learning / contextual stochastic optimization!
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