Memories from the #7AYW held in Milan on February at @LaStatale #orms https://t.co/GmftH3ToKU

RT @GdowskaK: @airoyoung @LaStatale @ClaDAmbrosio Finally back in #Krakow after the longest and the most turbulent trip to the conference I've ever had. #7AYW was worth all the effort! #orms #youngresearch https://t.co/QBOKqjBRl5

RT @MartiFischetti: “What? Is the paper submission deadline tonight??” Pinacoteca di Brera, Milan #orms #7AYW https://t.co/ANRfSnOPWx

RT @MartiFischetti: Grazie @airoyoung and the #7AYW organizing committee for another successful workshop!It is amazing to see how this reality grew, becoming the reference point for Italian (and international) PhDs in #orms ❤️😊 #proudMama https://t.co/BaBEvBDp8n

#7AYW #Day3 #ClosingSession
And that's all folks! A huge thanks to all participants, the local organizing committee @LaStatale , the plenary speakers Paolo Boldi and @ClaDAmbrosio and the sponsors #orms #youngresearchers https://t.co/aB1zh9Tb9H

#7AYW #Day3 #ElectricVehicles
Using a GRASP, Edoardo Scalzo tackles a capacitated charging stations location problem in a middle-mile scenario, to maximize # of eligible tours and minimize # of stations and total distance between charging stations and the origin point of tours. https://t.co/pFZIQHyx28

#7AYW #Day3 #ElectricVehicles
Francesco Taverna proposes a MILP formulation for the electric VRP with nonlinear charging functions, by considering the effect of load on energy consumption, and by describing the recharging process without using binary decision variables. https://t.co/wTZpfx3WDN

#7AYW #Day3 #Software
Francesca Da Ros @FDDaRos explains JuLeS, a white-box framework in #Julia implementing most common local-search metaheuristics. JuLeS is based on the inverse control mechanism (“Hollywood principle”), allowing for a highly extensible and reusable code. https://t.co/JH89MexfDQ

#7AYW #Day3 #Software
Saverio Basso presents PathWise, a flexible and open-source library to model and solve a variety of standard Resource-Constrained Shortest Path problems with an off-the-shelf implementation of state-of-the-art algorithms. https://t.co/Wo8AeifY1O

#7AYW #Day3 #SponsorSession
Nicholas Draghetti (LAIFE @Reply_ITA) presents an approach to identify and solve a specific business critical problem in healthcare management, by means of mathematical modelling and heuristic algorithms (greedy algorithm vs ant-colony optimization). https://t.co/YN8YFG3yOV

#7AYW #Day3 #SponsorSession
Andrea Mosconi (Target @Reply_ITA) describes a problem in the context of ship certifications, to choose the best suitable surveyors for a set of ships using a genetic algorithm and open data for fleet scheduling and georeferentiation of ports/offices. https://t.co/PCKKY2YExK

#7AYW #Day3 #Manufacturing #AutomatedWarehouses
Katarzyna @GdowskaK reports on an analysis of selected #MachineLearning models for quality control in automated Shewart charts, to enable monitoring any number of features and increasing the sampling frequency of measurements. https://t.co/0yvSWlMdjc

#7AYW #Day3 #CombinatorialOptimization #MachineLearning
Nuria Gómez-Vargas @justnuu_ shows a predict-and-optimize approach to guide the training of ML models with performances on the optimization problem and to enhance sparsity in the feature space for decisions explainability. https://t.co/8e0XTTeQPh

#7AYW #Day3 #CombinatorialOptimization #MachineLearning
Léo Baty presents a policy for the dynamic VRPTW,
which ranked first of the competition @EuroNeuripsVRP. It relies on a #DeepLearning pipeline with a prize collecting VRPTW combinatorial optimization layer. https://t.co/ZIze00SGf4

#7AYW #Day3 #BilevelProgramming
@CerulliMartina presents a formulation for the Profitable Tour Problem to include the conflicting goals of a company and its carriers, allowing the leader to anticipate the best followers’ response and find optimal pricing scheme for the carriers. https://t.co/D2DeskUnoy

#7AYW #Day3 #MultiobjectiveOptimization
In collaboration with an international chemicals manufacturer, Matteo Cosmi shows a linear programming model to optimize a deterministic multi-objective supply-chain problem aimed at minimizing CO2 emissions and their related costs. https://t.co/KkmpRVVUXC

#7AYW #Day3 #MultiobjectiveOptimization
In the context of home healthcare, Valentina Bonomi presents a lexicographic approach to solve a Nurse Routing Problem focused on fairness, with conflicting objective functions for patients, caregivers and the hospital. https://t.co/TbXE03q9Zp

RT @MartiFischetti: Maria Truvolo for multimodal freight transport collaborative systems #7AYW https://t.co/CTIjosoPuS

RT @MartiFischetti: Claudio Tomasi presenting our joint work (JRC and #unipv) on using #orms to support EU policy makers on public transport performances analyses
@comp_opt @famo2spaghi #7AYW https://t.co/7CwIHYbcQe

RT @MartiFischetti: . @ClaDAmbrosio giving a great plenary at #7AYW 👏 https://t.co/EgYbLOZvwD