04 Oct 2023
06 Oct 2023
Julia and Optimization Days 2023
Following the success of the JuliaDay organized in Nantes in 2019, we are organizing a second edition of the Julia & Optimization days, scheduled on 4-6 October 2023 in Paris, France. The workshop will be organized both in English and in French. It is open to anyone interested in the application of Julia in optimization and scientific computing. We strongly encourage master students and PhD students to come to present their research works in Julia.
Mathieu Besançon (Zuse Institute Berlin)
Vincent Duval (Inria Paris)
Xavier Gandibleux (Nantes Université)
Vincent Leclère (École des Ponts ParisTech)
Antoine Levitt (Laboratoire de mathématique d'Orsay)
Pierre Navaro (Institut de recherche mathématique de Rennes)
François Pacaud (Mines Paris-PSL)
How do I attend?
The inscription is mandatory, but free of charge.
The number of attendees is limited to 85, corresponding to the room's capacity.
How do I propose a talk?
If you want to propose a talk, you can submit an abstract when subscribing to the event. The deadline for submission is September, 8th.
This is only a preliminary schedule, the full schedule will be posted once all the talks submitted.
Wednesday, 4 October: Opening & Tutorials.
Thursday, 5 October: Regular talks and poster session.
Friday, 6 October: Regular talks and hackathon.
A poster session will be organized on Thursday, 5 October, in the afternoon. It is a good opportunity for participants willing to present their early works in a more informal setting.
The session is open to junior researchers (master and PhD students) and to more experienced researchers. Its primary focus is the application of Julia in optimization and scientific computing.
|Centre INRIA de Paris, 2 rue Simone IFF, 75012 Paris. Salle Jacques-Louis Lions
04 Sep 2023
07 Sep 2023
ODS 2023 – Optimization and Decision Science
The International Conference on Optimization and Decision Science is organized by AIRO. The Conference theme is open in the fields of operations research, optimization, problem-solving and decision-making, and their applications.
ODS 2023 will also host the workshop Artificial Intelligence for RAILwayS.
Unless the pandemic situation becomes worse, the conference will be organized fully in person.
For info please use the official mail address: firstname.lastname@example.org.
30 Aug 2022
02 Sep 2022
ODS 2022 – Optimization and Decision Science
The International Conference on Optimization and Decision Science is organized by AIRO, the Italian Operations Research Society, within DINFO (Dept. of Information Engineering, Università degli Studi di Firenze). The Conference theme is open in the fields of operations research, optimization, problem solving and decision making, and their applications. A special focus will be on the theme “Operations Research: inclusion and equity”.
Depending on the situation, we plan to organize the conference fully in person. Mixed mode (both in presence and virtual) is an option we will consider in the next months, depending on the evolution of the pandemic.
For info please use the official mail address: email@example.com
|Università degli Studi di Firenze
03 Jul 2022
09 Jul 2022
Summer School on Optimization, Big Data and Applications, (3rd edition, 2022)
Dear and estimated colleagues,
I am pleased to announce the third edition of the:
"Summer School on Optimization, Big data and Applications (OBA)"
Dates: July 3rd-9th, 2022
Venue, Veroli (Italy)
The fee of the School is 150 €.
The accommodations expenses for six nigths (in single room) are 250 €.
The event's web site is: oba.diag.uniroma1.it
The School is intended to be an advanced course for Master, PhD students, Postdocs.
The number of partecipants is limited to 40.
The main objective of the School is to provide machine learning models and novel optimization algorithms for big data problems and applications.
Lecturers of this OBA2022 edition are:
Peter I. Frazier (Cornell University)
Caludio Gentile (Google Research)
Alessandro Verri (University of Genova)
Andrew G. Wilson (New York University)
21 Jun 2022
22 Jun 2022
Second EUROYoung Workshop
The 2nd EUROYoung Workshop will take place in Porto, Portugal on June, 21-22 2022. The workshop is hosted by the Faculty of Engineering of the University of Porto and by INESC-TEC. Our invited plenary speakers will be Renata Mansini (University of Brescia) and Pedro Amorim (University of Porto).
Registration and more information at the website: https://euroyoung.eu/workshop22/
Contact email: firstname.lastname@example.org
# Main features
Due to health regulations and to ensure an atmosphere of conviviality, we are only able to accept 45 participants. Registrations will be processed on a first-come first-serve basis, will be confirmed upon paying a small inscription fee of 50€, and include:
* Accommodation for two nights in shared rooms (occupancy of 2 or 3).
* Social activities (more info soon, but we expect good news for Port wine lovers).
* Social dinner in Porto city centre.
* Lunches at the university canteen.
The workshop takes place on a Tuesday (21/06) and Wednesday (22/06). On June, 23rd the famous São João festival starts in Porto, with plenty of activities (depending on the health situation, of course!).
All registered participants are offered free accommodation in shared rooms (15 double and 5 triple rooms). The offered accommodation covers the night of 20-21 June and that of 21-22 June. The host structure is Hotel Ibis Porto São João, a ten minute walk from INESC-TEC and FEUP.
# Call for contributions
To maintain an atmosphere of conviviality, foster fruitful discussion and keep the quality of the event high, all sessions at the workshop are plenary. For this reason, not all participants will have time to five a full-length talk (15 minutes + 5 minutes for questions).
This year we decided to use the following (experimental) approach for abstract evaluation. All participants are invited to send their abstract in one of the following forms:
* One slide briefly describing the content of the talk (recommended), or
* One paragraph of text briefly describing the content of the talk.
These submissions must be sent via email to email@example.com between March, 15 and April, 15.
Starting from April, 16, we will share the submissions to all participants, who will be able to cast a vote for their favourite abstracts. On April, 30, when the voting period closes, the 15 highest-voted abstracts will be selected for a full-length talk. The remaining abstracts will be presented during our "pitch sessions": rapid-paced sessions in which each participant has 3 minutes available to pique the interest of the audience. In this way, we hope to give everyone a chance to present their research project while maintaining all sessions plenary.
# Important dates
* 07 February 2022: registration opens.
* 14 March 2022: registration closes (the registration fee must be paid by this date).
* 15 March 2022: abstract/pitch submission starts.
* 15 April 2022: abstract/pitch submission ends.
* 16 April 2022: pitch vote starts.
* 30 April 2022: pitch vote ends.
* 21-22 June 2022: workshop.
We are looking forward to seeing you in Porto,
Maria João Santos, Sara Martins, Alberto Santini
|Faculty of Engineering, University of Porto
13 Jun 2022
22 Jun 2022
EURO PhD School on Data Driven Decision Making and Optimization
This EURO PhD School (EPS) will focus on giving participants advanced training on Data Driven Decision Making. There will be a methodological as well as an applied component to this EPS. Methodological training on the role of Mathematical Optimization in Data Science will be given in the format of lectures and computer workshops. The lectures will highlight the mathematical and statistical modeling and numerical optimization behind data analysis and data visualization tools. The computer workshops will make this knowledge actionable. Applications of the acquired knowledge to the modeling of specific industrial problems will be presented by professionals from industry and worked out by the PhD students. Mathematical and statistical models and numerical solution approaches will be developed and communicated, following a collaborative approach, in which the PhD students will work in small groups under the guidance of the instructors.
|Institute of Mathematics of the University of Seville
03 Jun 2022
07 Jun 2022
Workshop on Railway Optimization 2022
ROW 2022, both in person and online (via Microsoft Teams).
3 June 2022: Scheduling, Routing, and Speed Control
10:00 – 10:04 Brief introduction (Prof. Andrea D’Ariano, Roma Tre University)
10:04 – 10:42 Lecture on “Tutorial on railway planning and train timetabling” (Prof. Taku
Fujiyama, University College London)
10:42 – 11:20 Lecture on “Advanced topics on the train timetabling problem” (Prof. Valentina
Cacchiani, University of Bologna)
11:20 – 11:40 Lecture on “Energy-efficient train operation with steep track and speed limits”
(Peiran Ying, Tongji University, Shanghai; visiting PhD student at Roma Tre University)”
11:40 – 12:00 Lecture on “Solving the train routing selection problem” (Bianca Pascariu, Roma Tre
University; visiting PhD student at Université Gustave Eiffel, Lille)
12:00 – 12:20 Lecture on “Hyper-heuristics: Introduction and application to the real-time railway
traffic management problem” (Marta Leonina Tessitore, Roma Tre University; visiting PhD student
at SINTEF DIGITAL, Oslo)
12:20 – 12:40 Lecture on “Crew-related train rescheduling with global rerouting in a high-speed
rail network due to a complete blocked segment” (Weining Hao, Beijing Jiaotong University;
visiting PhD student at Delft University of Technology)
12:40 – 13:00 Lecture on “A branch-and-price algorithm for the train makeup problem” (Bojian
Zhang, Southwest Jiaotong University, Chengdu; visiting PhD student at Roma Tre University)
7 June 2022: Urban Rail Transit, Rolling Stock Circulation
10:00 – 10:04 Brief introduction (Prof. Andrea D’Ariano, Roma Tre University)
10:04 – 11:00 Lecture on “An overview on train scheduling problems for metro lines” (Prof. Yihui
Wang, Beijing Jiaotong University)
11:00 – 11:20 Lecture on “Cooperative train control problem during the fault of traction power
supply system” (Xuekai Wang, Beijing Jiaotong University; visiting PhD student at Roma Tre
11:20 – 11:40 Lecture on “Scheduling of through trains based on flexible (de)coupling: A passenger
demand-oriented approach” (Simin Chai, Beijing Jiaotong University; potential visiting PhD student
at Roma Tre University)
11:40 – 12:00 Lecture on “Passenger-oriented train timetabling and heterogeneous rolling stock
circulating for an urban rail transit line” (Yuhua Yang, Southwest Jiaotong University, Chengdu;
former visiting PhD student at Roma Tre University)
12:00 – 12:20 Lecture on “Joint rolling stock rotation planning and depot deadhead scheduling in
urban rail transit lines” (Dian Wang, Southwest Jiaotong University, Chengdu; potential visiting
PhD student at Roma Tre University)
12:20 – 12:40 Lecture on “A simulation-optimization framework for the rolling stock circulation
problem with maintenance constraints - Part 1” (Tommaso Bosi, Roma Tre University; former
visiting PhD student at University of Luxembourg)
12:40 – 13:00 Lecture on “A simulation-optimization framework for the rolling stock circulation
problem with maintenance constraints - Part 2” (Federico Bigi, University of Luxembourg; former
Master student at Roma Tre University)
Where: Roma Tre University, Department of Engineering, via della vasca navale 79, Room N8
How to reach us: https://ingegneria.uniroma3.it/en/dipartimento/dove-siamo/
How to register: please contact Prof. Andrea D’Ariano (firstname.lastname@example.org) and specify how you would like to attend (in person or online).
|Roma Tre University, Department of Engineering
04 Apr 2022
08 Apr 2022
Copenhagen School of Stochastic Programming
International PhD School,
University of Copenhagen
4-8 April 2022
The Copenhagen School of Stochastic Programming is a PhD course that provides a rigorous and research-oriented introduction to stochastic programming, a mathematical framework for decision-making in the presence of uncertainty. In many real-life problems, important information is unknown to the decision-maker and only distributional information is available. Examples include the scheduling of power generation while demand and renewable production is uncertain, investments in assets with uncertain future returns or production of goods for which demand is stochastic.
The course is taught by world-renowned experts on the subject (see below). It will start by formalizing decision problems under uncertainty as mathematical optimization problems and analyzing their fundamental mathematical properties. From a computational perspective, these problems may be extremely challenging. Thus, a major part of the course will discuss approximations, mainly of the underlying probability distributions (so-called scenario generation), and stability of the optimization problems. The course will then proceed with a number of applications in the energy sector, an area for which stochastic programming has become increasingly important with the adoption of intermittent renewable energy sources. Finally, a selection of solution methods will be addressed, including exact decomposition procedures and approximate methods with strong connections to emerging approaches in machine learning.
The course is primarily aimed at PhD students who require a solid introduction into decision making under uncertainty. It is also open to master students interested in the subject, or to post-doctoral students who need to approach the discipline. A student can earn a certificate of 3.5 ECTS upon successful completion the course. The course is open to students from all over the world and the registration is free.
19 Jan 2022
19 Jan 2022
The Knapsack Problem with Forfeit Sets
Inaugura la nuova stagione 2022 dei seminari generali dell'IAC Andrea Raiconi, ricercatore dell'istituto IAC–CNR.
Il 19 gennaio alle 14.30 si svolgerà il primo dei seminari generali dell'IAC per l'anno 2022. Andrea Raiconi, ricercatore IAC nella sede di Napoli, presenterà un lavoro dal titolo: The Knapsack Problem with Forfeit Sets.
Di seguito l'abstract del seminario (che si svolgerà in italiano).
The 0/1 Knapsack Problem is one of the most well-known problems in combinatorial optimization, with multiple applications including capital budgeting, loading of goods in transport vehicles, and assignment of tasks or resources, among others.
In this presentation, we introduce a novel variant of the problem called Knapsack Problem with Forfeit Sets (KPFS), which considers a collection of possibly overlapping sets of items (forfeit sets), representing contrasting choices. Each set has an associated allowance threshold and a penalty cost. The allowance threshold defines how many items can be chosen
from each set before paying, in the objective function, the associated cost. A global limit on the number of allowed threshold violations is also considered. We show the problem to generalize two previously proposed variants of the 0/1 Knapsack Problem, and present a polynomially solvable subcase. Finally, we propose three heuristic and metaheuristic approaches to face the problem and present some computational results.
Il seminario sarà trasmesso in streaming sul canale YouTube dell'IAC @CNR IAC.
|IAC, CNR (online)
20 Sep 2021
06 Dec 2021
Second season of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Machine Learning NeEDS Mathematical Optimization is an online seminar series, organized by Emilio Carrizosa (IMUS-Instituto de Matemáticas de la Universidad de Sevilla) and Dolores Romero Morales (CBS-Copenhagen Business School) with the collaboration of PhD Students Kseniia Kurishchenko (CBS) and Cristina Molero-Río (IMUS).
This series includes a number of presentations from leading academics in the field of Data Science and Analytics that will cover important topics such as explainability, fairness, fraud, privacy, etc. Mathematical Modeling and Mathematical Optimization will be at the core of their presentations. We also have the YOUNG Online Seminar Series “Machine Learning NeEDS Mathematical Optimization”. In each YOUNG session, three junior academics will show their latest results in this burgeoning area . If you would like to receive updates for upcoming talks, please fill out this Google form.
The format is a weekly session that will take place every Monday, at 16.30 (CET), starting on January 11, 2021. It will be 100% online-access, and it will have speakers from around the globe.The Online Seminar Series is free thanks to the funding the EU gives to our H2020 MSCA NeEDS project, as well as the support given by IMUS-Instituto de Matemáticas de la Universidad de Sevilla. This support is gratefully acknowledged.
Shortly after each seminar, its video recording will be available at both the IMUS YouTube channel, as well as the NeEDS YouTube channel.
||Spain and Denmark
06 Sep 2021
10 Sep 2021
European Summer School on Learning in Games, Markets, and Online Decision Making
The school will have a group of prestigious scholars giving tutorials and research seminars. Among them: Nicolò Cesa-Bianchi, José Correa, Michal Feldman, Renato Paes Leme, and Eva Tardos.
The presence of all the speakers will be determined by the traveling constraints at the time of the school. Some of the speakers may have to take part in the school online.
Partial support for local expenses and travel will be made available for at most 25 international students from COST countries by the COST GAMENET project.
If you intend to attend the school, please fill out this form by June 15, 2021.
For further information, please contact email@example.com.
Please spread the word among your graduate students.
Nicola Gatti, Stefano Leonardi, Marco Scarsini
|Sapienza Università di Roma, Department of Computer, Control and Management Engineering
04 Sep 2021
07 Sep 2021
AIBM - 2021 International Summer School "Application of Artificial Intelligence and Machine Learning In Heterogeneous Brains"
"Application of Artificial Intelligence and Machine Learning In Heterogeneous Brains" 2021
International Summer School and Workshop
September 4-6, 2021
3-days event for a wide audience presenting Methods and Applications in 3 sessions
“Invited Talks” “Training” “Posters – Demos - Short Talks”
Jean-François Mascari, Sudhir Rathi and Romil Rawat
Jean-François Mascari | LinkedIn
Sudhir Rathi | LinkedIn
Romil Rawat | LinkedIn
Applications of AI and ML in Heterogeneous Brains
Previous Event AIBM-2020 (https://sites.google.com/view/aibm-2020/home ) cancelled due to Corona-19 Pandemic
AIBM- 2021 is planned to be conducted in Online Mode
due to the ongoing situation with COVID-19 (coronavirus)
Undergraduate, Post-graduate, Researchers, Ph.D. candidates,
PostDocs, Professors, Members of industry
Mathematical modeling, Computation & Algorithms,
Quantum Computing, Machine learning & inference, Deep Learning, Artificial Intelligence, Blockchain
Big Data & Analytics, Computer Vision, Natural Language Processing, Cyber Security
and Health Science
Energy Sector, Green Technology, Government Policies, Economy and International Relations, Social Network, Business Analytics and Urban Data Science, Culture and Art, Technologies for Emerging Markets, Cyber Security and Privacy-Data security, IOT, Biometrics and Forensic Technology, Healthcare and Medical Science, Engineering and Technology, Business and Entertainment, Education, Robotics, Automotive Industry, Manufacturing and Autonomous vehicles, Cyborg Technology, Marketing, Banking, Law, Economics, Psychology, Cyber war and Terrorism, Finance, Agriculture, Gaming and Simulation, Space Exploration, Creativity, Oil and Gas, Construction and Transportation, Transforming world socially, economically and Politically, Archaeology
This Session is composed of a limited number of invited talks
on methods of Artificial Intelligence and Machine Learning and their applications
Time for discussion and interaction among the participants
This Session will involve participants with Hand-on Programming Environment.
Registration is required: fees of International Participants € 230 Euros.
After Acceptance of the Registration Submission, Payment Instructions will be sent.
All selected participants must have to register and submit the Full Registration Fees
The Executive Committee will provide participation certificates
POSTERS, DEMONSTRATIONS and SHORT TALKS (upto 6 pages)
Posters, Demonstrations, and Short talks (google.com)
This Session will allow the attendees to present their results
on the topics connected with the AIBM-2021 methods and applications
Panel of Experts will evaluate all the submissions
The session is open to all Participants
The Research papers will be published in IJCAM (http://www.ijcam.com/)
AIBM Research Group
Apostelle Overseas Education
International Journal Of Computer Architecture And Mobility
Sobhasaria Group Institutions – Rajasthan, India
Invitation of Sponsorship is Open Sponsorship Invitation (google.com)
The organization of the next year AIBM 2022 School and Workshop
will be made possible also by the generous donations of sponsors
30 Aug 2021
01 Sep 2021
EUROPT Summer School
We are really very pleased to announce the first EUROPT summer school on continuous optimization:
EUROPT Summer School
online, 30 August - 1 September 2021
Theme: The need, the challenge and the success of robust and nonsmooth optimization
Aharon Ben-Tal (Technion - Israel Institute of Technology)
Manlio Gaudioso (Università della Calabria, Italia)
timetable: 10 am - 12 pm and 2-4 pm CEST
The school will take place on a fully online format with the support of the International Centre for Mathematical Sciences - Edinburgh, UK.
Attendance is free of charge but registration is mandatory. Lectures will be particularly suited for PhD students and young researchers, but the school welcomes everyone wishing to participate. To register fill the form by 24 July (see link).
|International Centre for Mathematical Sciences (online)
19 Jul 2021
23 Jul 2021
Summer school on "Integrated public transport planning"
we cordially invite your phd students and researchers from your group to our summer school on "Integrated Public Transport Planning" where transport engineers meet mathematicians and computer scientists!
We will give an overview on the stages of public transport planning, on data needed and algorithms to be used. This comes together with some hands-on work and software experiments.
We hope to provide a good basis for interested researchers for further work in this field. More details can be found in the attachment.
The summer school is organized within our DFG research unit and free of charge. For questions please contact Alexander Schiewe (firstname.lastname@example.org).
Looking forward to welcoming many researchers from your group,
Markus Friedrich, Anita Schöbel and Alexander Schiewe
13 Jul 2021
17 Jul 2021
3rd IEEE International Workshop on Smart & Sustainable Mobility & Logistics in Smart Cities
The workshop, hosted by COMPSAC 2021: Intelligent and Resilient Computing for a Collaborative World, is co-organized by CARS@polito, the interdepartmental center of Politecnico di Torino on Automotive and Mobility, and ICELab@polito, he research center on Smart Cities and Smart logistics.
Call for Papers: SSMLS 2021 – 3rd IEEE International Workshop on Smart & Sustainable Mobility & Logistics in Smart Cities (at COMPSAC 2021)
Virtual conference – July 13-17, 2021
* Important Dates *
Workshop papers due: April 21, 2021
Workshop paper notifications: May 15, 2021
Camera-ready and registration for all papers due: May 31, 2021
* Goal of the workshop *
The workshop aims to foster cooperation among practitioners and researchers in order to exchange the latest industrial experience and research ideas on the development of products and services for smart and sustainable mobility and logistics in Smart Cities.
* Workshop theme *
Urban mobility is one of the toughest challenges we all face today, as existing mobility systems are not smart and sustainable enough to cope with the increasing demand. These issues are real for both passenger and freight mobility. In addition, mobility needs are evolving. Changing travel habits, demand for services to increase convenience, speed and predictability, mobility-as-a-service and e-freight are emerging as new mobility paradigms. Planning and decision-making approaches then are evolving toward a more evidence-based approach, as well as evolving customer expectations toward individualization and sustainability will require mobility service innovation and business model transformation.
* Scope of the workshop *
Researchers and practitioners all over the world, from both academia and industry, working in the areas of Smart Cities, City Logistics, Sustainable Transportation, and Sharing Mobility, are invited to discuss the state of the art solutions, novel issues, recent developments, applications, methodologies, and techniques. Topics of interest include, but are not limited to:
• Cooperative intelligent transportation systems
• Road transport automation
• Electric mobility
• Maps and travel planning
• Mobility modelling
• Behaviour change approaches
• Travel demand estimation and modelling
• Evidence-based planning and decision-making
• Big Data and analytics in transport
• New Business models in mobility and logistics
• Blockchain and trusted network for mobility and logistics
Likely participants: ICT and Smart City researchers are called to participate and exchange ideas and techniques.
* Paper submission *
Workshop papers can be up to 6 pages in length, without additional charge. There is also an option to extend the paper by up to 2 extra pages by paying additional charges.
In order to submit the paper, please register your paper at the following url.
and select the track
[Workshop] SSMLS 2021: Smart & Sustainable Mobility & Logistics in Smart Cities
Accepted papers will be submitted for indexing to IEEExplore.
* Formatting *
Workshop papers are limited to 6 pages. Page limits are inclusive of tables, figures, appendices, and references. Workshop papers can add an additional 2 pages with additional page charges ($250USD/page).
All the papers must be formatted following the guidelines and the templates in
All submissions must use US 8.5×11 letter page format.
* Workshop Chairs *
Dr. Valentina Gatteschi, Politecnico di Torino, Turin, Italy
Dr. Mariangela Rosano, Politecnico di Torino, Turin, Italy
Prof. Layth Sliman, EFREI Engineering School, Paris, France
Prof. Khalil Drira, Laboratoire d’analyse et d’architecture des systèmes, Toulouse, France
Prof. Guido Perboli, Director of the ICT for City Logistics and Enterprises Lab – Politecnico di Torino, Turin, Italy and CIRRELT, Montreal, Canada
07 Jul 2021
09 Jul 2021
Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference
Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference
7-9 July 2021, Venice, Italy
The organizers are delighted to invite you to ECSO – CMS 2021 that will be held in Venice, Italy, 7-9 July 2021, at the Department of Economics - Ca’ Foscari University of Venice, in the San Giobbe Economics Campus.
The event was originally planned for July 2020 but due to the COVID-19 situation the conference is rescheduled to the next year.
ECSO - CMS 2021 is jointly organized by the Department of Economics of Ca’ Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization.
ECSO 2021 is the 3rd edition of a stream of conferences organized by the EURO Working Group on Stochastic Optimization (EWGSO). The previous editions were held in Paris (2014) and Rome (2017). The scope of the conference is to bring together researchers and professionals in Stochastic Optimization and its applications in different fields spacing from economics and finance to supply chain, logistics, etc.
CMS 2021 is the 17th edition of an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of the conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science.
This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world. The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included.
CONFIRMED PLENARY SPEAKERS
DARINKA DENTCHEVA, Stevens Institute of Technology (USA)
DAVID MORTON, Northwestern University (USA)
GAH-YI BAN, London Business School (UK)
DANIEL KUHN, École polytechnique fédérale de Lausanne (CH)
GIORGIO CONSIGLI, Università di Bergamo (I)
WARREN POWELL, Princeton University (USA)
Venue: Department of Economics, Ca’ Foscari University of Venice
San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy
Conference Secretariat: email@example.com
Conference hashtag: #ecsocms2021
Call for papers and deadlines will be announced in Autumn
A Best Student Paper Prize will be awarded. Papers should be nominated via e-mail by the students’ supervisors (firstname.lastname@example.org). The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants’ papers will be considered for the prize.
Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen).
We are looking forward to seeing you in Venice.
Diana Barro, Stein-Erik Fleten and Martina Nardon
Organizing and Program Committee Chairs
|Department of Economics, Ca’ Foscari University of Venice
24 Jun 2021
25 Jun 2021
Journées Polyèdres et Optimisation Combinatoire (JPOC)
Inscription deadline: 24/6 (there is no fee)
07 Jun 2021
11 Jun 2021
Applications of Metaheuristics to large-scale problems
On behalf of the Organizing Committee, we invite you to participate in the
special session (workshop) on
"APPLICATIONS OF METAHEURISTICS TO LARGE-SCALE PROBLEMS" at the 13th
International Conference on
Large Scale Scientific Computation - LSSC'21, June 07 - 11, 2021, Sozopol,
with arrival: June 06 and departure: noon June 11.
The conference web site is regularly updated, see
http://parallel.bas.bg/Conferences/SciCom21/index.html . In particular, we
would like to draw your attention to the information about the Best
Conference Paper Awards.
In accordance with the Announcement, in case of continuing travel
restrictions due to the corona virus, we are ready to create a hybrid
offline online organization to participate in the conference. We would
very much like to hope that this will not be the case.
The session is organized by:
Prof. Stefka Fidanova (email@example.com)
from the Institute of Information and Communication Technologies (former
Institute for Parallel Processing),
Bulgarian Academy of Sciences and
Gabriel Luque (firstname.lastname@example.org) from University of Malaga, Spain.
The list of topics includes, but is not limited to:
optimization in dynamic and/or noisy environments
large scale optimization
parallel and distributed approaches in optimization
random search algorithms,
other derivative free optimization methods
nature inspired optimization methods (evolutionary algorithms,
ant colony optimization, particle swarm optimization, immune artificial
hybrid optimization algorithms involving natural computing techniques
other global and local optimization methods
optimization methods for learning processes and data mining
computational optimization methods in statistics, econometrics, finance,
physics, medicine, biology, engineering etc
We plan to continue publishing the proceedings of only refereed and
presented papers as a
special volume of Springer Lecture Notes in Computer Science (LNCS).
Deadline for submission of abstracts
January 15, 2021
Notification of acceptance of the talks on the basis of the submitted
January 31, 2021
Deadline for registration
February 15, 2021
Deadline for submission of full papers
March 01, 2021
Notification of acceptance of full papers
April 15, 2021
Abstracts and contributed papers
The abstracts (up to 1 page stating clearly the originality of the results)
are to be written in standard LaTeX.
The length of the contributed papers is limited up to 8 pages. It is
assumed that one participant
will present not more than one talk.
Send the abstracts and papers to special session organizers and conference
indicating the name of the special session.
After sending the abstract go to the conference web page and fill in the
registration form (personal data of the participants,
minimum one per paper, and the name of the special session).
Information about abstract and paper preparation, accommodation,
registration form and conference location you can find at the conference
web page http://parallel.bas.bg/Conferences/SciCom21/
Special session organizers
Prof. Stefka Fidanova
Prof. Gabriel Luque
15 Apr 2021
20 Apr 2021
Railway Optimization Workshop
Prof. Andrea D'Ariano (Università Roma Tre) is organizing a workshop focused on railway optimization, more specifically on planning and real-time problems.
The workshop is free-of-charge and will be held virtually on Teams.
You can look at the program by clicking on the url on the right and also on LinkedIn (https://www.linkedin.com/feed/update/urn:li:activity:6776130344245706752/).
If you would like to attend the workshop, please contact Prof. Andrea D'Ariano (email@example.com).
24 Feb 2021
24 Feb 2021
A beautiful paper
Quattro relatori scelgono e "raccontano" quattro articoli, di altri
autori, particolarmente significativi nel campo dell'Ottimizzazione e
della Ricerca Operativa.
Edoardo Amaldi, Renato De Leone, Andrea Lodi, Maria Grazia Speranza
24 Feb 2021
24 Feb 2021
Decision, Decision, Decision!
The University of Portsmouth is delighted to announce the second edition of
the event 'Decision, decision, decision!' a virtual workshop to create
awareness of the usefulness of multicriteria decision making techniques.
The event is organised in collaboration with the INFORMS Section
on Multiple Criteria Decision Making, the EURO Working Group on
Multicriteria Decision Aiding (EWG-MCDA) and the Decision Analysis SIG of
the Operational Research Society.
The workshop will take place online on the 24th of February at 13:00 GMT /
14:00 CET. You can access the event clicking at this link
platform, Passcode 895589).
The plenary speaker of the event is Professor Roman Slowiński, Editor in
Chief of the European Journal of Operational Research.
A detailed program of the event can be found in the attached leaflet and
you can register for free via the Eventbrite platform
We look forward to virtually meeting you on the 24th of February.
Dr Maria Barbati
Senior Lecturer in Business Analytics and Quantitative Research Methods
University of Portsmouth
PBS, Operations & Systems Management Group
Portsmouth PO1 3DE
Prof. Roberto Aringhieri, Ph.D. - Associate Professor
Dipartimento di Informatica, Università degli Studi di Torino
Corso Svizzera 185, I-10149 Torino, Italy
Office: +39 011 6706755 - Mobile: +39 331 1239026
Associate Editor for Operations Research for Health Care
11 Jan 2021
31 May 2021
Upcoming Seminar Series: Machine Learning NeEDS Mathematical Optimization
We warmly welcome you to the Online Seminar Series “Machine Learning NeEDS Mathematical Optimization” that will start on January 11, 2021. This is a weekly seminar series that will take place every Monday, at 16.30 (CET). It will be 100% online-access, and it will have speakers from around the globe.
We have lined up a number of presentations from leading academics in the field of Data Science and Analytics that will cover important topics such as explainability, fairness, fraud, privacy, etc. Mathematical Modeling and Mathematical Optimization will be at the core of their presentations. We will also have presentations from junior academics showing their latest results in this burgeoning area.
For information on the talks follow the link below
Alternatively, you can follow us on Twitter
Looking forward to e-seeing you at the seminar series,
IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Dolores Romero Morales
Copenhagen Business School
IMUS-Instituto de Matemáticas de la Universidad de Sevilla, www.imus.us.es
Copenhagen Business School, www.cbs.dk
H2020 EU RISE NeEDS project, www.riseneeds.eu
||Spain and Denmark
28 Sep 2020
02 Oct 2020
Deep Reinforcement Learning
Organizers: Lihong Li (Google Brain; chair), Marc Bellemare (Google Brain)
The success of deep neural networks in modeling complicated functions has recently been applied by the reinforcement learning community, resulting in algorithms that are able to learn in environments previously thought to be much too large. Successful applications span domains from robotics to health care. However, the success is not well understood from a theoretical perspective. What are the modeling choices necessary for good performance, and how does the flexibility of deep neural nets help learning? This workshop will connect practitioners to theoreticians with the goal of understanding the most impactful modeling decisions and the properties of deep neural networks that make them so successful. Specifically, we will study the ability of deep neural nets to approximate in the context of reinforcement learning.
All events take place in the Calvin Lab auditorium.
Further details about this workshop will be posted in due course. Enquiries may be sent to the organizers at this address.
21 Sep 2020
25 Sep 2020
NATCOR Course on Forecasting & Predictive Analysis
The week long course will focus on the principles of time-series forecasting, and recent developments in predictive analytics. Many examples will be used and there will be opportunities for participants to use models ‘hands-on’ and to experiment with real data. Links between forecasting, predictive analytics and decision making under uncertainty will be emphasised. The relevance of forecasting to non-stationary environments will be discussed, for example in inventory, simulation and optimisation models.
Location and Session Leaders
Sessions will be led by experts from the Lancaster Centre for Forecasting, calling on external experts if necessary. The overall co-ordinator will be Professor John Boylan.
The course will be subdivided into three sections, as follows:
•Time series modelling
This forms a natural sequence, moving from univariate models to classical multivariate models to modern methods which address both univariate and multivariate data.
The session on time series modelling will commence with the simplest methods, with opportunities for participants to experiment with parameter choices and to appreciate the scope for parameter optimisation methods to improve forecast accuracy. Model-based approaches will be covered, as well as criteria for choosing between forecasting models. A more general discussion will be held on error measurement and concerns about the reproducibility of forecasting research.
The session on econometric models will start with an introduction to the concepts involved, but will assume some knowledge of regression modelling. It will cover diagnostic analysis of regression models and model choice. This session will also cover some of the important technicalities of econometric time-series models, such as spurious regression, cointegration and modelling non-stationary data. It will conclude with a broader discussion of asymmetric loss functions and forecaster behaviour.
The final session on predictive analytics will cover some key topics for time series analysis. This will include data mining, with a focus on time series clustering for data exploration, and time series classification. It will also cover artificial intelligence for forecasting, focussing on Artificial Neural Networks and recent developments in ensemble methods for forecasting.
21 Sep 2020
24 Sep 2020
17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
We invite you to attend the 17th International Conference on the
Integration of Constraint Programming, Artificial Intelligence, and
Operations Research (https://cpaior2020.dbai.tuwien.ac.at/ ). The aim of
the conference is to bring together interested researchers from
Constraint Programming (CP), Artificial Intelligence (AI), and
Operations Research (OR) to present new techniques or applications and
to provide an opportunity for researchers in one area to learn about
techniques in the others. A main objective of this conference series is
also to give these researchers the opportunity to show how the
integration of techniques from different fields can lead to interesting
results on large and complex problems.
The online conference will take place from September 21 to 24, 2020.
The registration is free of charge:
The conference program is available here:
The conference program includes four invited talks and a Master Class on
the topic ?Recent Advances in Optimisation Paradigms and Solving
? Margarida Carvalho (University of Montreal, Canada): ?Algorithmic
approaches for integer programming games and a story on policy making?
? Georg Gottlob (University of Oxford, UK, and TU Wien, Austria):
?Hypertree Decompositions: Questions and Answers?
? Sebastian Pokutta (Technische Universit?t Berlin, Zuse Institute
Berlin, Germany): ?Restarting Algorithms: Sometimes there is Free Lunch?
? Peter Stuckey (Monash University, Australia) ?Combinatorial
Optimisation for Multi-Agent Path Finding?
Master Class ("Recent Advances in Optimisation Paradigms and Solving
? Laurent Perron and Fr?d?ric Didier (Google Paris, France) ?Constraint
? Armin Biere (Johannes Kepler University, Linz, Austria):
? G?nther Raidl and Andrea Schaerf (TU Wien, Austria, and University of
Udine, Italy): ?(Meta)Heuristics and Hybridisation?
? In?s Lynce (University of Lisbon, Portugal): ?MaxSAT, Multi-Objective
Optimisation, and Parallelism?
? Timo Berthold (Fair Isaac Germany GmbH, Germany):
? Marie Pelleau (Universit? Nice Sophia-Antipolis, France): ?Numerical
CPAIOR 2020 PC Chairs and the Local Organizing Committee