Algorithmics

Welcome to the Algorithmics group, a section of the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology.

In the Algorithmics group, we aim to design, and understand fundamental properties of, planning and coordination algorithms for intelligent decision making in real world applications, such as for coordinating electrical loads within network constraints, or logistic processes on a shunting yard or container terminal. Apart from dealing with the inherent scalability challenge in such combinatorial domains, we work on two main research objectives. First, we aim to understand how to build predictive models from data that facilitate effective planning and scheduling algorithms dealing with uncertainty, for example to find robust solutions. Our second research objective is to understand how to effectively incorporate behaviour and preferences of stakeholders in the decision-making process.

To realize these objectives we focus on the following research topics:

  • Model-based reinforcement learning: How to deal with uncertainty in planning?
  • Multi-party optimization: How to account for preferences and possibly strategic behaviour in multi‐actor planning?
  • Constraint reasoning: How to support individual and group scheduling decisions?
  • Meta-heuristics: What are effective general heuristic methods to support decisions taking into account different preferences?

We aim to apply these techniques in sectors such as logistics and transportation, energy, and maintenance. To realise these applications we pay attention to handling large amounts of available data as well as to the development of advanced algorithmic toolboxes based on generic methods and techniques.

Job openings

  • Dr Matthijs Spaan and Dr Neil Yorke-Smith have two openings for PhD positions on uncertainty in AI. The positions are part of the FET Open project Epistemic AI. The aim is to develop novel reinforcement learning and constraint programming algorithms under non-probailistic uncertainty. Deadline for applying is the end of February 2021.
  • Mathijs de Weerdt and Matthijs Spaan have two openings for PhD positions in the AI4B.io project: one on smart plant scheduling with Dr. De Weerdt and one on reinforcement learning for a self-driving lab with Dr. Spaan. Deadline for application is March 15, 2021.
  • Our group holds a number of openings for MSc projects for TU Delft students.
  • If you're among the best students in your class (CS/AI/Maths) and interested in obtaining your PhD by contributing to our mission (see above), please send an email to the professor you'd like to be your promotor indicating your topic/direction of interest.

From start to finish

Video: Research and education opportunities for master students

Research and Education for Master Students

News

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09 February 2021

Algorithmics group present four papers at IJCAI'20 and AAAI'21

All the talks are available on the conference website.

04 November 2020

Podcast AI & energy with Mathijs de Weerdt

In the sixth Dutch spoken science podcast Snoek op Zolder (‘pike in the attic’) of the Dutch AI Coalition (NL AIC) and the National Innovation Centre for AI (ICAI), hosts Hennie Huijgens and Sietse van Gorkum talk to Mathijs de Weerdt, section leader of the Algorithmics Group at TU Delft. This episode’s focus is on the energy and industrial sector in the Netherlands. The importance of this topic is stressed by the increasing urgency the sector is experiencing for the transition towards a more sustainable energy system.

28 July 2020

TUDelft teams get 1st and 2nd place at the GECCO 2020 Industrial Challenge

A team of students participating in the course Algorithms for Intelligent Decision Making have won the 1st place in the GECCO 2020 Industrial Challenge. Former Computer Science student Arthur Guijt has won 2nd place.

11 June 2020

Team Automatoes win final of Autonomous Greenhouse Challenge

Team Automatoes beat five other finalists in growing tomatoes with AI.

15 May 2020

Three papers about reinforcement learning from our group were presented at AAMAS 2020

All the talks are available on the conference website

20 December 2019

New project SAM-FMS studies scheduling in cyber-physical systems

New project SAM-FMS studies scheduling in cyber-physical systems

07 October 2019

Automatoes

Team Automatoes reach final of Autonomous Greenhouse Challenge

03 April 2019

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04 December 2018

Delft AI meetup series launched

A series of monthly meetups on Artificial Intelligence has been launched at TU Delft. First meetup will take place on December 13. More information is available via https://www.meetup.com/Delft-AI-Meetup/.

29 June 2018

The ICAPS'18 and the CPAIOR'18 conference at the TU Delft have been a great success

The International Conference on Automated Planning and Scheduling (ICAPS) 2018 and the International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR) 2018 in Delft have been a great success. Thanks to everyone who helped us!

Delft University of Technology - Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

Contact us

Visiting Address
Building 28

Room: 320 East 3rd floor
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands

Mailing Address
EEMCS, Algorithmics
P.O. Box 5031, 2600 GA Delft
The Netherlands

Location

Location