FedCSIS 2024

19th Conference on Computer Science and Intelligence Systems
FedCSIS 2024 (IEEE #61123

Belgrade, Serbia, 8–11 September, 2024

For more information, please visit https://2024.fedcsis.org/

The mission of the FedCSIS Conference Series is to provide a presentation, discussion and a reputable publication forum in computer science and intelligence systems. The forum invites researchers and practitioners from around the world to contribute their research results focused on their scientific and professional interests in a chosen area of computer science.

ATMOS 2024

ATMOS 2024: 24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems

Royal Holloway, University of London in Egham
London, UK, September 5-6, 2024
Conference website: https://algo-conference.org/2024/atmos/
Submission link: https://easychair.org/conferences/?conf=atmos2024


The 24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2024) will be part of ALGO 2024 (https://algo-conference.org/2024/), which will take place at the Royal Holloway, University of London in Egham, United Kingdom. ATMOS is scheduled on 5-6 September 2024.

Since 2000, ATMOS brings together researchers and practitioners who are interested in all aspects of algorithmic methods and models for transport optimization. The symposium provides a forum for the exchange and dissemination of new ideas and techniques. The aim of making transportation better gives rise to very complex and large-scale optimization problems requiring innovative solution techniques and ideas from algorithms, mathematical optimization, theoretical computer science, and operations research.


SPEAKER: Eduardo Uchoa, Universidade Federal Fluminense, Niteroi, Brazil
TITLE: Exact Algorithms for Vehicle Routing: advances, challenges, and perspectives
ABSTRACT: The vehicle Routing Problem (VRP) is among the most widely studied problems in operations research and combinatorial optimization. The current state-of-the-art exact VRP algorithms employ a combination of column generation and cut separation, known as Branch-Cut-and-Price (BCP) algorithms. This presentation examines notable recent contributions made by various researchers in the field. Additionally, the talk showcases VRPSolver, a very flexible package that implements a BCP algorithm that achieves outstanding performance for many routing, packing, and scheduling problems. Furthermore, VRPSolverEasy, a recent Python application built on top of VRPSolver, is introduced. While heuristic algorithms are likely to remain the dominant approach for practical routing, the availability of exact solutions for reasonably sized instances opens up new possibilities.


Submission deadline: Sunday June 30, 2024 (AoE)
Notification to authors: July 31, 2024
Camera ready submission: August 7, 2024
Symposium: September 5-6, 2024


The symposium welcomes but is not limited to papers addressing the following topics:

  • Congestion Modelling and Reduction
  • Crew and Duty Scheduling
  • Demand Forecasting
  • Delay Management
  • Design of Pricing Systems
  • Electromobility
  • Infrastructure Planning
  • Intelligent Transportation Systems
  • Models for User Behaviour
  • Line Planning
  • Mobile Applications for Transport
  • Mobility-as-a-Service
  • Multi-modal Transport Optimization
  • Routing and Platform Assignment
  • Route Planning in Road and Public Transit Networks
  • Rostering
  • Timetable Generation
  • Tourist Tour Planning
  • Traffic Guidance
  • Vehicle Routing
  • Vehicle Scheduling

The symposium welcomes but is not limited to papers applying and advancing the following techniques: Algorithmic Game Theory, Approximation Algorithms, Combinatorial Optimization, Graph and Network Algorithms, Heuristics and Meta-heuristics, Mathematical Programming, Methods for the Integration of Planning Stages, Online and Real-time Algorithms, Simulation Tools, Stochastic and Robust Optimization.


Authors are invited to submit high-quality manuscripts reporting original unpublished research in the topics related to the symposium. Simultaneous submission to other journals or conferences with published proceedings is not allowed. By submitting a paper the authors acknowledge that, in case of acceptance, at least one of the authors will register at ALGO/ATMOS 2024, attend the conference on-site, and present the paper.

Submissions must be in the form of a single PDF file prepared using the LaTeX OASIcs style file (https://www.dagstuhl.de/en/publishing/series/details/oasics) and must be submitted electronically via the EasyChair submission system (https://easychair.org/conferences/?conf=atmos2024).

ATMOS 2024 accepts two types of submissions, both of which will be reviewed with the same quality standards by the Program Committee.

(a) REGULAR PAPER SUBMISSIONS: A regular paper submission should clearly motivate the importance of the problem being addressed, discuss prior work and its relationship to the paper, explicitly and precisely state its key contributions, and outline the key technical ideas and methods used to achieve the main results. A regular paper submission should not exceed 12 pages including title page and abstract, but excluding references and an optional appendix. Authors should include all necessary details in their submission so that the Program Committee can judge the correctness, importance and originality of their work. Any material (e.g., proofs or experimental results) omitted (from the main part of 12 pages) due to space limitations can be put into the optional appendix, which will be read at the Program Committee’s discretion. Regular papers will be allotted up to 20 pages in the proceedings.

(b) SHORT PAPER SUBMISSIONS: A short paper submission may present preliminary results or work-in-progress on a specific topic. Authors should clearly motivate the importance of the problem being addressed, discuss prior work and its relationship to the paper, explicitly and precisely state the paper’s key contributions, and outline the key technical ideas and methods used to achieve the main claims. A short paper submission should have at least 4 and at most 6 pages. Authors should provide sufficient details in their submission so that the Program Committee can judge the correctness, importance and originality of their work. Short papers will be allotted upto 6 pages in the proceedings.


The proceedings will be published on the Dagstuhl Open Access Seriesin Informatics (OASIcs) publication service.


Paul Bouman (co-chair), Erasmus University Rotterdam, Netherlands
David Coudert, INRIA and Université Côte d’Azur, France
Mattia D’Emidio, University of L’Aquila, Italy
Twan Dollevoet, Erasmus University Rotterdam, The Netherlands
Daniele Frigioni, University of Aquila, Italy
Loukas Georgiadis, University of Ioannina, Greece
Marc Goerigk, University of Passau, Germany
Andrew Goldberg, Amazon, USA
Vera Grafe, TU Kaiserslautern, Germany
Irene Heinrich, TU Darmstadt, Germany
Spyros Kontogiannis (co-chair), University of Patras, Greece
Jesper Larsen, Technical Universtity of Denmark, Denmark
Niels Lindner, Zuse Institute Berlin, Germany
Philine Schiewe, Aalto University, Finland
Sabine Storandt, University of Konstanz, Germany
Rolf van Lieshout, Eindhoven University of Technology, The Netherlands


Alberto Marchetti-Spaccamela, Sapienza Università di Roma, Italy
Marie Schmidt, Universität Würzburg, Germany
Anita Schöbel, University of Kaiserslautern-Landau, Germany
Christos Zaroliagis, University of Patras, Greece (Chair)


All questions about submissions should be emailed to the PC co-chairs:

OR 2024 – International Conference on Operations Research 2024

Data, Learning, and Optimization

The International Conference on Operations Research is jointly organized by the German Operations Research Society GOR), the Austrian Society for Operations Research (ÖGOR), and the Swiss Operations Research Society (SVOR/ASRO).

This conference is a place to exchange ideas and interact with other academics, researchers, and practitioners in the fields of Operations Research, Management Science, Data Science, and Analytics. The OR 2024 will take place from September 3-6, 2024 on the downtown campus of the Technical University of Munich.

We invite academics, researchers, and practitioners from around the world to attend and submit a paper to OR 2024. The conference is a great platform to share your research findings, discover new applications and practices, discuss trends and interact with professionals and leading experts. Join us in this experience!


  • February 1, 2024
    Abstract submission opening
  • April 1, 2024
    Registration opening
  • April 30, 2024
    Abstract submission deadline
  • May 15, 2024
    Acceptance notification
  • May 30, 2024
    Early-bird registration deadline
  • June 30, 2024
    Presenting author registration deadline
  • September 2, 2024
    Preconference workshops
  • September 3-6, 2024

For further informations, visit https://or2024.de/ .

LOGMS 2024 – International Conference on Logistics and Maritime Systems

International Conference on Logistics and Maritime Systems
August 26-29, 2024, University of Hamburg, Hamburg, Germany
Digital Waves in Logistics and Maritime Systems: Sailing Towards Efficiency

LOGMS provides a platform for establishing international networks among researchers and practitioners in logistics and maritime systems. The LOGMS conference is a meeting among maritime logistics and systems experts to share research methodologies and results with each other and explore future development directions. We hope that all people in this area are able to acquire useful information from this event and contribute to improving this platform.

Aims and Scope

The logistics and maritime industry is more and more driven by AI-enabled optimization and analytics, harnessing the vast amount of data generated everywhere in supply chains, including real-time data from IoT devices. This trend raises numerous research inquiries spanning areas like the operational management of autonomous vessels and transport equipment, gaining deeper insights into markets through the analysis of demand and price data, exploring new forms of collaboration, evaluating environmental impacts of systems and actors, and many more. Emerging innovations and smart technologies hold the potential to empower various stakeholders within the logistics and maritime sector, enabling them to make informed decisions, achieve heightened levels of performance, enhance sustainability, and ultimately bolster their competitive edge.

The organizers of LOGMS 2023 cordially invite you to submit your paper to this conference to join an open academic discussion on related topics. All papers related to theoretical developments and practical applications of logistics and maritime systems are welcome. We especially welcome application case studies from industries. Relevant topics include, but are not limited to:

  • Port Planning and Design
  • Maritime Policy Development and Analysis
  • Economic Impact of International Maritime Policy
  • Shipping and Ports Development
  • Port Economics
  • Port Operations and Operations Planning
  • Empty Container Repositioning
  • Port Simulation
  • Port Automation
  • Logistics Network Design
  • Optimization and Metaheuristics
  • Shipping & Transportation in Supply Chains
  • Revenue Management
  • Impact of Strategic Alliances
  • Supply Chain Modeling and Management
  • Air Transportation
  • Rail Transportation
  • Maritime Transportation
  • Inter-modal Transportation
  • Multi-modal Terminals and Transportation
  • Green Logistics
  • Safety in Port Operation
  • Cargo and Container Tracking Systems
  • Information Technology in Logistics
  • Wireless Communications for Ports
  • Positioning/Locating RTLS and GPS
  • Business Processes Innovation for Logistics
  • Unmanned Autonomous Moving Vehicles
  • Autonomous Vessel Operations
  • Automated Equipment in Logistics
  • AI for Ports and Maritime Logistics
  • Big Data Analytics in Maritime Systems
  • IoT for Enhancing Port Operations
  • Digital Twins for Maritime Logistics and Ports
  • Port Process Analytics
  • AI-based Logistics Optimization
  • Carbon-neutral Supply Chains
  • Safety in Logistics Services
  • Supply Chain Network Optimization
  • Advanced Planning & Scheduling
  • Production/Distribution Planning
  • Inventory Planning
  • Vehicle Routing & Scheduling
  • Reverse Logistics
  • Warehouse Management

Important Dates

  • Deadline Submission of Abstracts: April 23, 2024
  • Deadline Notification of Acceptance: May 7, 2024
  • Short and Full paper submission: May 30, 2024
  • Deadline Author Registration Early Bird: May 30, 2024
  • Final Deadline Author Registration: June 30, 2024


  • Extended abstracts: at least 4 pages long
  • Short papers. 4 to 8 pages long
  • Full papers: more than 8 pages long

Short and full papers will be published in the Springer series Lecture Notes and Computer Science (LNCS).

Registration Fees

The registration and submission tool will open in January/February 2024.

Conference Chairs

Leonard Heilig
Stefan Voß

ÖGOR Summer-School for PhD-candidates and Post-Docs

The Austrian Society for Operations Research (OeGOR) organizes for the third time a summer-school for PhD-candidates and Post-Docs.

Invited Speakers: Timo Gschwind (RPTU Kaiserslautern):
Introduction to Column-Generation Theory and Application

Maximilian Schiffer (TU München):
Combinatorial optimization augmented machine learning for contextual multi-stage problems

Date: 22.07.2024 – 26.07.2024

Place: University for Continuing Education (Donau Uni) Krems

Participation in the school is free of charge, if your institution or supervisor are members of ÖGOR or of an OR-Society in a neighboring country. However, lunch will be organized centrally, thus requiring a meal contribution of ca. € 60.- (nonrefundable) to be paid until 21.06.2024. All other food, travel and hotel arrangements must be organized and covered by the participants.

Registration: send an e-mail until May 24, 2024 to raimund.kovacevic@donau-uni.ac.at
Each invited speaker will give a two-day program. The participants are also invited to give a presentation of their work. Take the chance to create a bond with fellow students and with OeGOR!

22.7.-23.7. Timo Gschwind:
Introduction to Column-Generation Theory and Application

Column Generation (CG)-based methods are (among) the leading exact solution techniques
for many important combinatorial optimization problems including problems in routing,
scheduling, cutting and packing, and network design to name a few. CG itself is an iterative
procedure that can tackle Linear Programs (LPs) containing a huge number of variables. At
each iteration, it solves a restricted version of the LP containing only a subset of the variables
and one or several pricing problems to generate missing variables. When solving integer
problems, CG is embedded in an overall strategy (e.g., Branch-and-Bound) to guarantee
integer solutions, resulting in an integer CG approach (e.g., Branch-and-Price, B&P). However,
(integer) CG approaches are not out-of-the-box solution methods. Many important building
blocks are often problem specific and a textbook implementation of basic CG is typically not
competitive. This course begins with a practice-oriented introduction to CG and B&P. It then covers the
basic theory of (integer) CG and discusses more advanced techniques such as pricing
strategies, cutting, strategies to obtain integer solutions, stabilization, variable fixing, or CGbased
heuristics. Overall, the course aims at providing a balance between theoretical foundations and ready-to-apply knowledge for designing and implementing CG approaches.
The course also includes practical implementation sessions.

24.7.: Short presentations by the participants

25.7.-26.7. Maximilian Schiffer:
Combinatorial optimization augmented machine learning for contextual multi-stage problems

Combinatorial optimization augmented machine learning (COAML) is a novel field that
combines methods from machine learning and operations research to tackle contextual datadriven
problems that involve both uncertainty and combinatorics. These problems arise
frequently in industrial processes, where firms seek to leverage large and noisy data sets to
optimize their operations. COAML typically involves embedding combinatorial optimization
layers into neural networks and training them with decision-aware learning techniques.
In this summer school, we will learn i) how such algorithmic pipelines work and ii) how they
can be designed depending on the planning problem faced. We will then iii) focus on the
difference between pipelines that are based on structured learning and pipelines that are
based on reinforcement learning. Finally, we will focus iv) on a hands-on coding exercise to
build a respective algorithmic pipeline on our own to reflect the theory studied.
The participants are invited to attend the course with their own laptops, having
super-user access on their computers for installing the required resources, and
with wifi-internet access (Eduroam or 4G/5G).