#stochasticprogramming 검색 결과

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!

🔍 Learn how to handle infeasible scenarios in stochastic programming using penalty terms or chance constraints. Author: Thana B. #StochasticProgramming #Optimization #MonteCarloModeling ift.tt/BFo1K5y

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

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…

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 math.ku.dk/english/calend… #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

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 (mdpi.com/journal/algori…) 📗 "A Review on the Performance of Linear and Mixed Integer Two-Stage #StochasticProgramming Software" #Views: 1551 #Citations: 5 mdpi.com/1999-4893/15/4… 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!

Call for a Ph.D. position in Operations Research: theory and applications: md6712.com/wp-content/upl… #StochasticProgramming #MixedIntegerProgramming #AlgorithmDesign #DataDrivenOptimization

Call for a Ph.D. position in Operations Research Applied to Health Services: md6712.com/wp-content/upl… #StochasticProgramming #RobustOptimization #SimulationBasedOptimization #DataDrivenOptimization

Today is the deadline for submitting your abstracts to the @INFORMS Optimization Society Conference @InformsOS! Submit here: cecas.clemson.edu/informs-confer… to present in the Optimization under Uncertainty Cluster #StochasticProgramming #RobustOptimization #ReinforcementLearning

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…

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

Preparándonos para el congreso de la Sociedad Mexicana de Investigación de Operaciones #stochastic #stochasticprogramming #optimization #math

Today available in Annals of Operations Research: Bounds in multi-horizon stochastic programs joint work with E. Allevi and A. Tomasgard doi: 10.1007/s10479-019-03244-9 rdcu.be/bzBjQ #stochasticprogramming #optimization #energy

Apply now for this Junior Professor position in “Optimization and Uncertainty in Mobility” at the Carl-Friedrich-Gauß-Fakultät of @tuBraunschweig tu-braunschweig.de/en/vacancies/t… #OptimizationUnderUncertainty #StochasticProgramming #Mobility #RobustOptimization

"A multi-horizon #stochasticprogramming model for investments under operational #uncertainty" @NTNU @ETH_en #ETHZ #workshop #energy

#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 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 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

#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

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!

It's time to submit your sessions/talks for the cluster on #OptimizationUnderUncertainty @INFORMS2020 taking place on Nov 8-11 in National Harbor, MD meetings2.informs.org/wordpress/nati… #MonarchsOfSP #StochasticProgramming #RobustOptimization #MachineLearning #ApplicationsOfSP

🤩 New textbook on #StochasticProgramming "Modeling Decision Problems under Uncertainty" by Wim Klein Haneveld, Maarten van der Vlerk, & Ward Romeijnders based on the #SP lecture notes of Wim and Maarten @univgroningen springer.com/gp/book/978303…

Call for a Ph.D. position in Operations Research: theory and applications: md6712.com/wp-content/upl… #StochasticProgramming #MixedIntegerProgramming #AlgorithmDesign #DataDrivenOptimization

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!

Call for a Ph.D. position in Operations Research Applied to Health Services: md6712.com/wp-content/upl… #StochasticProgramming #RobustOptimization #SimulationBasedOptimization #DataDrivenOptimization

Check out the C3.ai COVID-19 Grand Challenge, an international public data science competition to combat COVID-19! c3.ai/c3-ai-covid-19… The top seven teams will share $200,000 in prize money! #StochasticProgramming #DataScience #SocialImpact

#Daily_Share 📢 Welcome to read the Top Cited Papers in 2022 (mdpi.com/journal/algori…) 📗 "A Review on the Performance of Linear and Mixed Integer Two-Stage #StochasticProgramming Software" #Views: 1551 #Citations: 5 mdpi.com/1999-4893/15/4… via @ComSciMath_Mdpi

[Article] A Mixed-Integer and Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem Full #openaccess @ mdpi.com/1999-4893/13/9… #stochasticprogramming #parallelcomputing #asynchronouscomputing #algorithms

Addressing climate change in a post-pandemic world mck.co/2xah29j via @McKQuarterly On this #EarthDay, what lessons can we learn from the pandemic to tackle climate change? #StochasticProgramming will be a key technology for planning our future #SPforSocialImpact