Description
Leader of the group Networks and Optimization: Guido Schäfer.
In today’s society, complex systems surround us. From transport and traffic, to behavioral economics and operations management, real-world applications often demand that we identify simple, optimal solutions among a huge set of possibilities. Our research group Networks and Optimization (N&O) does fundamental research to tackle such challenging optimization problems.
We develop algorithmic methods to solve complex optimization problems efficiently. Our research provides efficient algorithms to some of the most challenging problems, for example, in planning, scheduling and routing. To come up with the best optimization algorithms, we combine and extend techniques from different disciplines in mathematics and computer science.
N&O covers a broad spectrum of optimization aspects. Our expertise ranges from discrete to continuous optimization and applies to centralized and decentralized settings. We focus on both problem-specific methods and universal toolkits to solve different types of optimization problems. The key in our investigations is to understand and exploit combinatorial structures, such as graphs, networks, lattices and matroids. Our research is of high scientific impact and contributes to various fields.
In several cooperations with industry partners, the algorithmic techniques that we develop in our group have proven useful to solve complex real-world problems. We are always interested in new algorithmic challenges arising in real-world applications and are open to new cooperations.
Watch our group video to get a glimpse of our activities.
News
Connection between graph theory and algebra deepened
PhD student Guus Regts from Centrum Wiskunde & Informatica (CWI) investigated mathematical connections between graph theory and algebra.
Nikhil Bansal receives ERC Consolidator Grant for research on algorithms
Mathematician Nikhil Bansal received an ERC consolidator grant in November. The researcher is affiliated with Eindhoven University of Technology and part-time seconded at CWI, in the Networks & Optimization research group.
MINO project on business decisions starts at CWI in October 2013
The Networks & Optimization research group at CWI in Amsterdam participates in the recently funded EU Initial Training Network MINO for Mixed Integer Nonlinear Optimization. It has eleven academic partners(such as CWI and project coordinator Bologna University) and three commercial partners (IBM, MAIOR and ORTEC).
CWI researcher proves famous Rota’s Conjecture
Mathematician Bert Gerards of Centrum Wiskunde & Informatica (CWI) in Amsterdam and his colleagues Jim Geelen (University of Waterloo, Canada) and Geoff Whittle (Victoria University of Wellington, New Zealand) have proved the famous 40-year old Rota’s Conjecture. The team has been working for more than 15 years on solving this mathematical problem posed by Gian-Carlo Rota in 1970.
Current events
CWI-Inria Workshop 2018
- 2018-09-25T13:30:00+02:00
- 2018-09-26T12:00:00+02:00
CWI-Inria Workshop 2018
Start: 2018-09-25 13:30:00+02:00 End: 2018-09-26 12:00:00+02:00
We welcome you to attend the next CWI-Inria workshop. Please visit the website for all information about the program and free registration.
- Web
- Email: Susanne van Dam
- Phone: 020-592 4189
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iCal
Members
Associated Members
Publications
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Carstens, C.J, & Kleer, P.S. (2018). Speeding up switch Markov chains for sampling bipartite graphs with given degree sequence. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2018) (pp. 36:1–36:18). doi:10.4230/LIPIcs.APPROX-RANDOM.2018.36
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Ontwikkelaars A1 spreken zich uit tegen killer robots - DeIngenieur.nl - 19-07-18. (2018). Ontwikkelaars A1 spreken zich uit tegen killer robots - DeIngenieur.nl - 19-07-18.
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Dadush, D.N, & Huiberts, S. (2018). A friendly smoothed analysis of the simplex method. In Proceedings of the Annual ACM Symposium on Theory of Computing (pp. 214–227). doi:10.1145/3188745.3188826
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Kamphorst, B. (2018, May 31). Heavy-traffic behaviour of scheduling policies in queues.
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Apt, K.R, & Wojtczak, D.K. (2018). Verification of distributed epistemic gossip protocols. Journal of Artificial Intelligence Research, 62, 101–132.
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Amanatidis, G, Green, B, & Mihail, M. (2018). Connected realizations of joint-degree matrices. Discrete Applied Mathematics. doi:10.1016/j.dam.2018.04.010
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Bansal, N, Kamphorst, B, & Zwart, A.P. (2018). Achievable performance of blind policies in heavy traffic. Mathematics of Operations Research, 43(3), 949–964. doi:10.1287/moor.2017.0890
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Hu, H, & Laurent, M. (2018). On the linear extension complexity of stable set polytopes for perfect graphs. European Journal of Combinatorics. doi:10.1016/j.ejc.2018.02.014
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Beurs van 1,5 miljoen voo TU/e-hoogleraar Bansal - E52.nl - 26-02-18. (2018). Beurs van 1,5 miljoen voo TU/e-hoogleraar Bansal - E52.nl - 26-02-18.
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Geelen, J, Gerards, A.M.H, & Whittle, G. (2018). Quasi-graphic matroids (corrected version of a paper that was previously retracted at the request of the authors). Journal of Graph Theory, 87(2), 253–264. doi:10.1002/jgt.22177
Current projects with external funding
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Continuous Methods in Discrete Optimization
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Networks
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New Frontiers in Lattice Algorithms and Design
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Verbeteren van de efficiency en prestatie van logistieke processen in de binnenvaart
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Wiskundecluster DIAMANT
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Approximation Algorithms, Quantum Information and Semidefinite Optimization (AQSO)
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Mixed-Integer Non-Linear Optimisation Applications (MINOA)
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Vóórkomen en voorkómen van incidenten op het spoor (PPS Prorail)
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Quantum Software Consortium (QSC)
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Societal Impact Games (SocialACT)
Related partners
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Alma Mater Studiorum-Universita di Bologna
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Alpen-Adria-Universität Klagenfurt
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CNR Pisa
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CNRS
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CTVrede
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IBM
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Prorail
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Rheinische Friedrich-Wilhelmus Universitaet Bonn
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Stanford University
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Technische Universität Dortmund
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Tilburg University
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Technische Universiteit Eindhoven
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Technische Universiteit Delft
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Universiteit Leiden
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Universiteit van Amsterdam
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Vrije Universiteit Amsterdam