Prof.dr. Peter A.N. Bosman
Senior Researcher at Centrum Wiskunde & Informatica (CWI)
(Dutch National Research Institute for Mathematics and Computer Science)
Life Sciences and Health Research Group

Professor of Evolutionary Algorithms at Delft University of Technology
Algorithmics Section of the Department of Software Technology
Faculty of Electrical Engineering, Mathematics and Computer Science

E Peter.Bosman@cwi.nl    W http://homepages.cwi.nl/~bosman    T +31(0)20 592 4265
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Personalia                                                                                                                                                                             
Name
 
Peter Alexander Nicolaas Bosman
Date of birth
 
December 25, 1975
Location of birth
 
Utrecht, The Netherlands
Nationality
 
Dutch

Professional positions held                                                                                                              
2018-current
Professor of Evolutionary Algorithms at Delft University of Technology in Delft, the Netherlands (part-time professorship; in Dutch:"deeltijdhoogleraar")

2010-current
Senior researcher (tenured) at the Center for Mathematics and Computer Science (in Dutch: Centrum Wiskunde & Informatica (CWI)) in Amsterdam, the Netherlands

2004-2010
Postdoctoral researcher (fixed term) at the Center for Mathematics and Computer Science (in Dutch: Centrum Wiskunde & Informatica (CWI)) in Amsterdam, the Netherlands

2002-2004
Assistant professor (fixed term) at the Institute for Information and Computing Sciences at Utrecht University in Utrecht, the Netherlands

Professional education                                                                                                              
2018
Professional course on management in research organizations (in Dutch: Management in OnderzoeksOrganisaties (MIOO)) at Leeuwendaal, the Netherlands (https://www.leeuwendaal.nl/)

2004
Basic university teaching qualification (in Dutch: BasisKwalificatie Onderwijs (BKO)) at Utrecht University, the Netherlands (diploma date: 20-12-2004)

1998-2002
Ph.D. student (in Dutch: Assistent in Opleiding (AiO)) at the Institute for Information and Computing Sciences at Utrecht University in Utrecht, the Netherlands (graduation date: 20-05-2003)

1994-1998
Masters (in Dutch: Doctoraal) computer science at Utrecht University in Utrecht, the Netherlands (cum laude, exam date: 25-08-1998)

1988-1994
Atheneum at the Spectrum College in Utrecht, the Netherlands

Awards and nominations                                                                                                                                                  
Best paper awards
   •
N.H. Luong, H. La Poutré and P.A.N. Bosman. Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. In J.L.J. Laredo, S. Silva and A.I. Esparcia-Alcázar: Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2015. pages 1231-1238, ACM Press, New York, New York, 2015. (RWA track)
   •
T. Brys, M. Drugan, P.A.N. Bosman, M. De Cock and A. Nowé. Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES. In C. Blum and E. Alba, editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2013, pages 1125-1132, ACM Press, New York, New York, 2013. (IGEC track)
   •
P.A.N. Bosman. The Anticipated Mean Shift and Cluster Registration in Mixture-based EDAs for Multi-Objective Optimization. In J. Branke et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2010, pages 351-358, ACM Press, New York, New York, 2010. (EDA track)
   •
P.A.N. Bosman. On Empirical Memory Design, Faster Selection of Bayesian Factorizations and Parameter-Free Gaussian EDAs. In G. Raidl et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2009, pages 389-396, ACM Press, New York, New York, 2009. (Award won at the Belgium-Netherlands Artificial Intelligence Conference - BNAIC-2009: best internationally published paper award, referred to at the BNAIC conference as B-type papers)

Best paper nominations
   •
K. Orphanou, D. Thierens, and P.A.N. Bosman. Learning Bayesian Network Structures with GOMEA In H. Aguirre et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2018, pages 1007-1014, ACM Press, New York, New York, 2018. (GA track)
   •
A. Bouter, T. Alderliesten, C. Witteveen, and P.A.N. Bosman. Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 705-712, ACM Press, New York, New York, 2017. (ENUM track)
   •
P.A.N. Bosman,N.H. Luong and D. Thierens. Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2016, pages 637-644, ACM Press, New York, New York, 2016. (GA track)
   •
K.L. Sadowski, D. Thierens and P.A.N. Bosman, Combining Model-Based EAs for Mixed-Integer Problems. In T. Bartz-Beielstein et al., editors, In Parallel Problem Solving from Nature - PPSN XII. pages 342-351, Springer-Verlag, Berlin, 2014.
   •
T. Brys, M. Drugan, P.A.N. Bosman, M. De Cock and A. Nowé. Local Search and Restart Strategies for Satisfiability Solving in Fuzzy Logics. In Proceedings of the IEEE Symposium Series on Computational Intelligence - SSCI-2013, IEEE Press, Piscataway, New Jersey, 2013.
   •
P.A.N. Bosman and D. Thierens. On Measures to Build Linkage Trees in LTGA. In C.A. Coello Coello et al., editors, Parallel Problem Solving from Nature - PPSN XII, pages 276-285, Springer-Verlag, Berlin, 2012.
   •
P.A.N. Bosman and H. La Poutré. Learning and Anticipation in Online Dynamic Optimization with Evolutionary Algorithms: The Stochastic Case. In D. Thierens et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2007, pages 1165-1172, ACM Press, New York, New York, 2007. (GA track)
   •
P.A.N. Bosman and E.D. de Jong. Combining Gradient Techniques for Numerical Multi-Objective Evolutionary Optimization. In M. Keijzer et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2006, pages 627-634, ACM Press, New York, New York, 2006. (EMO Track)

Competition-based awards
   •
Humies Silver Award (3000 USD) for Human-Competitive Results Produced by Genetic and Evolutionary Computation, presented at the Genetic and Evolutionary Computation Conference (GECCO) for the work presented in S.C. Maree, N.H. Luong, E.S. Kooreman, N. van Wieringen, A. Bel, K.A. Hinnen, H. Westerveld, B.R. Pieters, P.A.N. Bosman, and T. Alderliesten. Evaluation of bi-objective treatment planning for high-dose-rate prostatebrachytherapy – A retrospective observer study. In Brachytherapy. 18(3), pages 396-403, 2019.
   •
Winner of the 2019 Competition on Niching Methods for Multimodal Optimization at the Genetic and Evolutionary Computation Conference (GECCO): S.C. Maree, T. Alderliesten, and P.A.N. Bosman. Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization. In arXiv preprint. arXiv:1907.10988, 2019.
   •
Winner of the 2018 Competition on Niching Methods for Multimodal Optimization at the Genetic and Evolutionary Computation Conference (GECCO): S.C. Maree, T. Alderliesten, D. Thierens, and P.A.N. Bosman. Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. In arXiv preprint. arXiv:1807.00188, 2018.

Graduation awards
   •
P.A.N. Bosman. A General Framework and Development Environment for Interactive Visualizations of Evolutionary Algorithms in Java and Using it to Investigate Recent Optimization Algorithms that Use a Different Approach to Linkage Learning. Utrecht University M.Sc. thesis INF-SCR-98-15, 1998. (The national computer-science graduation project runner-up award, awarded by "het Nederlands Genootschap voor Informatica - NGI")
   •
P.A.N. Bosman. A General Framework and Development Environment for Interactive Visualizations of Evolutionary Algorithms in Java and Using it to Investigate Recent Optimization Algorithms that Use a Different Approach to Linkage Learning. Utrecht University M.Sc. thesis INF-SCR-98-15, 1998. (The CIVI national graduation project award in the computer science and technical computer science category, awarded by "de Koninklijke Hollandsche Maatschappij der Wetenschappen")

Other awards
   •
ESTRO – Elekta Brachytherapy Award 2019 at the European Society for Therapeutic Radiology and Oncology (ESTRO) Conference: A. Bouter, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, and P.A.N. Bosman. Bi-objective optimization of dosimetric indices for HDR prostate brachytherapy within 30 seconds. In Proceedings of the European SocieTy for Radiotherapy & Oncology conference - ESTRO-2019. 2019.
   •
Cum Laude Poster Award sponsored by 12 Sigma at the SPIE Medical Imaging 2019 Conference: K. Pirpinia, P.A.N. Bosman, J.-J. Sonke, M. van Herk, and T. Alderliesten. Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. In Proceedings of the SPIE Medical Imaging Conference 2019. 10949; doi:10.1117/12.2512760, SPIE, Bellingham, WA, 2019.
   •
Junior Brachytherapy Travel Grant Award at the European Society for Therapeutic Radiology and Oncology (ESTRO) Conference (granted to PhD student S.C. Maree): S.C. Maree, E.S. Kooreman, N.H. Luong, N. van Wieringen, A. Bel, E.C.M. Rodenburg, K.A. Hinnen, G.H. Westerveld, B.R. Pieters, P.A.N. Bosman, and T. Alderliesten. Better plans and easy plan selection via bi-objective optimization for HDR prostate brachytherapy. In Proceedings of the European SocieTy for Radiotherapy & Oncology conference - ESTRO-2018. 2018.
   •
Junior Brachytherapy Travel Grant Award at the European Society for Therapeutic Radiology and Oncology (ESTRO) Conference (granted to PhD student M.C. van der Meer): M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, and A. Bel. Sensitivity of dose-volume indices to organ reconstruction settings in HDR prostate brachytherapy. In Proceedings of the European SocieTy for Radiotherapy & Oncology conference - ESTRO-2018. 2018.
   •
Best GEC-ESTRO Junior Presentation Award at the European Society for Therapeutic Radiology and Oncology (ESTRO) Conference (granted to PhD student S.C. Maree): S.C. Maree, P.A.N. Bosman, Y. Niatsetski, C. Koedooder, N. van Wieringen, A. Bel, B.R. Pieters, T. Alderliesten. Improved class solutions for prostate brachytherapy planning via evolutionary machine learning. In Proceedings of the European SocieTy for Radiotherapy & Oncology conference - ESTRO-2017, 2017.
   •
Young Investigator Award at the International Conference on the use of Computers in Radiation Therapy (ICCR) Conference (granted to PhD student K. Pirpinia): K. Pirpinia, P.A.N. Bosman, C.E. Loo, A.N. Scholten, J.-J. Sonke, M. van Herk, and T. Alderliesten. Multi-objective optimization as a novel weight-tuning strategy for deformable image registration applied to pre-operative partial-breast radiotherapy. In U. Oelfke and M. Partridge, editors, Proceedings of the International Conference on the use of Computers in Radiation Therapy - ICCR-2016, 2016.

Grants                                                                                                                                                                                    
Research grants
   •
P.A.N. Bosman and T. Alderliesten. EXAMINE – Evolutionary eXplainable Artificial Medical INtelligence Engine. NWO Open Competition Domain Science – KLEIN-2 programme. Funds 2 Ph.D. students. 2019.
   •
T. Alderliesten, P.A.N. Bosman, L.J.A. Stalpers, B.R. Pieters. Fast, accurate, and insightful brachytherapy treatment planning for cervical cancer through artificial intelligence. Dutch Cancer Society (KWF, Project No. 12183). Funds 2 Ph.D. students, 1 MD-Ph.D. student, 1 scientific programmer (2 years), and 1 radiation therapy technologist (5 years at 0.05 FTE). 2019.
   •
P.A.N. Bosman and T. Alderliesten. FEDMix: Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis. NWO-ENW Joint eScience and Data Science across the Topsectors Programme. Funds 1 Ph.D. student. 2017.
   •
T. Alderliesten, P.A.N. Bosman, A. Bel. Multi-Objective Deformable Image Registration (MODIR) - An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with Content Mismatch and Large Deformations. NWO-TTW Open Technology Programme. Funds 2 postdocs (3 years at 1 FTE), 2 Ph.D. students, and 1 radiation therapy technologist (4 years at 0.5 FTE). 2017.
   •
T. Alderliesten and P.A.N. Bosman. High Performance Computing System for Research into Mapping Out more Accurately than Ever Before the Irradiation-Induced Long-Term Effects after Surviving Childhood Cancer. Nijbakker-Morra Stichting. Funds 1 High Performance Computing System. 2017.
   •
P.A.N. Bosman. Support for the GPU-based Acceleration of Gene-pool Optimal Mixing Evolutionary Algorithms. NVIDIA GPU Grant Programme. Funds 1 Tesla X Pascal GPU card. 2016.
   •
P.A.N. Bosman, K. Hindriks, M. Neerincx, H. Merks, M. Grootenhuis and T. Alderliesten. Improving Childhood Cancer Care when Parents Cannot be There - Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion. STW-KWF Partnership Programme. Funds 1 postdoc (2 years at 1 FTE) and 2 PhD students. 2016.
   •
T. Alderliesten and P.A.N. Bosman. High Performance Computing System for the Accurate Reconstruction of the 3D Dose Distribution for Children with Cancer who have been Treated in the Past. Maurits en Anna de Kock Stichting. Funds 1 High Performance Computing System. 2016.
   •
P.A.N. Bosman, Y. Niatsetski, T. Alderliesten and A. Bel. ICT-based Innovations in the Battle against Cancer - Next-Generation Patient-Tailored Brachytherapy Cancer Treatment Planning. NWO-EW Innovatieve publiek-private samenwerking in ICT (IPPSI) - Technology Area (TA) programme. Funds 1 postdoc (3 years at 1 FTE) and 3 PhD students. 2015.
   •
T. Alderliesten, A. Bel, C.R.N. Rasch, P.A.N. Bosman and C.M. Ronckers. 3D dose reconstruction for children with long-term follow-up - Toward improved decision making in radiation treatment for children with cancer. KiKa multiannual research projects. Funds 2 Ph.D. students and 1 postdoc (4 years at 0.15 FTE). 2014.
   •
P.A.N. Bosman. Market-driven Simulation Software for Smart Energy Systems. EIT ICT Labs "Open SES Experience Labs for Prosumers and New Services" activity in the innovation area "Smart Energy Systems". Funds 1 scientific programmer (1 year at 0.2 FTE). 2013.
   •
P.A.N. Bosman. Market-driven Simulation Software for Smart Energy Systems. EIT ICT Labs "Modular Market Mechanisms Software for Smart Energy Systems" activity in the innovation area "Smart Energy Systems". Funds 1 scientific programmer (1 year at 0.5 FTE). 2012.
   •
D. Thierens, P.A.N. Bosman and H. La Poutré. Estimation of Distribution Algorithms for Mixed Continuous-Discrete Problems. NWO free competition programme. Funds 1 Ph.D. student. 2011.
   •
P.A.N. Bosman. Market and organisational mechanisms and intelligent planning methods for smart energy systems. EIT ICT Labs "Modular Market Mechanisms Software for Smart Energy Systems" activity in the innovation area "Smart Energy Systems". Funds 1 scientific programmer (1 year at 0.4 FTE). 2011.
   •
H. La Poutré, P.A.N. Bosman and H. Slootweg. Computational Capacity Planning in Electricity Networks. NWO Smart Energy Systems programme. Funds 2 Ph.D. students. 2010.

Travel/visit grants
   •
P.A.N. Bosman. New Approaches to Handling Uncertainties in Optimization. Short Term Scientific Mission (STSM) grant within the European Cooperation in Science and Technology (COST) scientific programme on Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions. Funds a research visit to J. Branke at Warwick Business School, Coventry, UK. 2010.

Supervision                                                                                                                                                                           
Postdocs
   •
S.C. Maree 2020-2020.
   •
M. Virgolin. 2019-2020.
   •
M. Camara. 2019-2019.
   •
T. Deist. 2019-2021.
   •
A.L. Rincon. 2017-2018.
   •
K. Orphanou. 2017-2018. (ERCIM Alain Bensoussan Fellowship programme)
   •
N.H. Luong. 2016-2019.
   •
I.W.E.M. van Dijk. 2015-2019.

Ph.D. students
   •
Vacancy on Dutch Cancer Society (KWF) project No. 12183. Ph.D. defense expected 2025.
   •
Vacancy on Dutch Cancer Society (KWF) project No. 12183. Ph.D. defense expected 2024.
   •
Vacancy on Dutch Cancer Society (KWF) project No. 12183. Ph.D. defense expected 2024.
   •
Vacancy on NWO Open Competition Domain Science – KLEIN-2 project. Ph.D. defense expected 2024.
   •
Vacancy on NWO Open Competition Domain Science – KLEIN-2 project. Ph.D. defense expected 2024.
   •
Vacancy on NWO-TTW OTP project. Ph.D. defense expected 2024.
   •
Vacancy on NWO-TTW OTP project. Ph.D. defense expected 2024.
   •
M. Grewal. Delft University of Technology (employee of CWI). Ph.D. defense expected 2023.
   •
A. Dushatskiy. Delft University of Technology (employee of CWI). Ph.D. defense expected 2022.
   •
K.L.A. van Bindsbergen. University of Amsterdam (employee of AMC). Ph.D. defense expected 2022.
   •
P.A. Bouter. Delft University of Technology (employee of CWI). Ph.D. defense expected 2021.
   •
M. van der Meer. University of Amsterdam (employee of AMC). Ph.D. defense expected 2021.
   •
S.C. Maree. University of Amsterdam (employee of AMC). Ph.D. defense expected 2020.
   •
M. Virgolin. Delft University of Technology (employee of CWI). Ph.D. defense expected 2020.
   •
Z. Wang. University of Amsterdam (employee of AMC). Ph.D. defense expected 2020.
   •
K. Pirpinia. University of Amsterdam (employee of NKI). Ph.D. defense expected 2020.
   •
K.L. Sadowski. Utrecht University. Ph.D. defense expected 2020.
   •
N.H. Luong. Design and Application of Scalable Evolutionary Algorithms in Electricity Distribution Network Expansion Planning. Delft University of Technology. 2018.
   •
S.F. Rodrigues. A Multi-Objective Optimization Framework for the Design of Offshore Wind Farms. Delft University of Technology. 2016.
   •
A.K. Hutzschenreuter. A Computational Approach to Patient Flow Logistics in Hospitals. Eindhoven University of Technology. 2010.

Scientific Programmers
   •
Vacancy on Dutch Cancer Society (KWF) project No. 12183.
   •
B. Liefers. 2013-2014.

M.Sc. students
   •
T. den Ottelander. TBD. Delft University of Technology. 2020.
   •
C. Olieman. Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm. Delft University of Technology. 2019.
   •
E. Meulman Towards Self-Learning Model-Based Evolutionary Algorithms. Delft University of Technology. 2019.
   •
P.A. Bouter. Designing the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm and Applying it to Substantially Improve the Efficiency of Multi-Objective Deformable Image Registration. Delft University of Technology. 2016.
   •
R. de Bokx. Parallelizing the Linkage Tree Genetic Algorithm and Searching for the Optimal Replacement for the Linkage Tree. Delft University of Technology. 2015.
   •
V.-L. Spiridon. A Genetic Approach to Programming Large-Scale Systems. Delft University of Technology. 2013.
   •
S. van Berkel. Genetic Programming for Automatic Discovery of Algorithms for Multi-Agent Systems. Delft University of Technology. 2011.
   •
J.M. Vuong. Solving the Multi-Objective Dial-a-Ride Problem Without Using Routing Heuristics. Delft University of Technology. 2010.
   •
S. van Otterloo. Evolutionary Algorithms & Scheduling Problems. Utrecht University. 2001.

Research activities                                                                                                                                                             
Board memberships of scientific organizations
   •
Officer of ACM SIGEVO (Secretary). 2019-2021.
   •
The executive board of ACM SIGEVO. 2019-2025.
   •
The business committee of ACM SIGEVO. 2020-2023.

Ph.D. committee member
   •
A. Lensen. Evolutionary Feature Manipulation in Unsupervised Learning. Victoria University of Wellington. 2019.
   •
J. Heinerman. Better Together. VU University Amsterdam. 2019.
   •
O.A. Elhara. Stochastic Black-Box Optimization and Benchmarking in Large Dimension. University Paris-Sud (Orsay). 2017.
   •
G. Karafotias. Parameter Control for Evolutionary Algorithms. VU University Amsterdam. 2016.

Research grant committee member
   •
OTP programme of STW (NWO-TTW). 2017.

Research grant reviewer
   •
Netherlands Organisation for Scientific Research (NWO). Since 2016.
   •
Czech Science Foundation (GACR). Since 2016.
   •
Research Grants Council Hong Kong (RGC). Since 2010.

Journals (regularly) reviewed for since 2000
   •
Evolutionary Computation
   •
IEEE Transactions on Evolutionary Computation
   •
Swarm and Evolutionary Computation
   •
IEEE Transactions on Systems, Man, and Cybernetics
   •
Journal of Global Optimization
   •
European Journal of Operational Research
   •
Structural Optimization
   •
Journal of Machine Learning Research
   •
Natural Computing
   •
Soft Computing
   •
International Journal of Approximate Reasoning
   •
Operation Research Letters
   •
Complex Systems
   •
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
   •
IEEE Transactions on Neural Networks and Learning Systems
   •
Computational Economics

Conference general chair
   •
The Genetic and Evolutionary Computation Conference - GECCO. 2017.

Conference local chair
   •
The Genetic and Evolutionary Computation Conference - GECCO. 2013.
   •
The International Conference on Computational Management Science - CMS. 2006.

Conference programme chair
   •
The CO track at the Genetic and Evolutionary Computation Conference - GECCO. 2016.
   •
The EDA track at the Genetic and Evolutionary Computation Conference - GECCO. 2006, 2009.
   •
The late-breaking papers track at the Genetic and Evolutionary Computation Conference - GECCO. 2007.

Conference programme committee member
   •
The Genetic and Evolutionary Computation Conference - GECCO. Since 2002.
   •
The Parallel Problem Solving from Nature conference - PPSN. Since 2004.
   •
The IEEE Congress on Evolutionary Computation - CEC. Since 2006.
   •
The BeNelux Artificial Intelligence Conference - BNAIC. Since 2013.
   •
The European Conference on Applications of Evolutionary Computation - EvoApplications. Since 2008.
   •
The International Conference on Smart Grids and Green IT Systems - SMARTGREENS. 2013, 2014.

Symposium chair
   •
Back to the Future and Beyond: Traversing the Ever-Evolving Landscape of Evolutionary Algorithms. International Scientific Symposium on State-of-the-Art Evolutionary Computation Approaches and their (Medical) Applications, held at Delft University of Technology. 2019.

Workshop chair
   •
The Model-Based Evolutionary Algorithms workshop - MBEA at the Genetic and Evolutionary Computation Conference - GECCO. 2016.
   •
The Green and Efficient Energy Applications of Genetic and Evolutionary Computation workshop - GreenGEC at the Genetic and Evolutionary Computation Conference - GECCO. 2012, 2013, 2014.
   •
The Evolutionary Algorithms for Dynamic Optimization Problems workshop - EvoDOP at the Genetic and Evolutionary Computation Conference - GECCO. 2007.
   •
The Optimization by Building and Using Probabilistic Models workshop - OBUPM at the Genetic and Evolutionary Computation Conference - GECCO. 2006.

Workshop programme committee member
   •
The Investigating Optimization Problems from Machine Learning and Data Analysis workshop at the Parallel Problem Solving from Nature conference. 2018.
   •
The IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments - CIDUE. 2009, 2013.
   •
The Optimization by Building and Using Probabilistic Models workshop - OBUPM at the Genetic and Evolutionary Computation Conference - GECCO. 2000, 2001.

Book review board member
   •
Springer volume Natural Intelligence for Scheduling, Planning and Packing Problems. 2009.

Tutorial presenter
   •
The Model-Based Evolutionary Algorithms tutorial at the Genetic and Evolutionary Computation Conference - GECCO. 2013, 2014, 2015, 2016, 2017, 2018, 2019.

Invited talks
   •
At the symposium on ``Machine learning, artificial intelligence and big data for precision medicine'' at the World Congress of Brachytherapy. 2020.
   •
At the Delft AI meetup. 2019.
   •
At the AMDS/ADS (Amsterdam Medical Data Science / Amsterdam Data Science) meetup on "Personalization in Health". 2019.
   •
At the symposium on "Inverse planning in brachytherapy - A one click solution?" at the European Society for Radiotherapy and Oncology (ESTRO) conference. 2019.
   •
At the Victoria University of Wellington, New Zealand. 2018.
   •
At the Queensland University, Australia. 2018.
   •
At the Royal Melbourne Institute of Technology. 2018.
   •
At the University of New South Wales, Australia. 2018.
   •
At the University of Adelaide, Australia. 2018.
   •
At the TAU and RANDOPT research groups of INRIA Saclay, Paris, France. 2018.
   •
At the Health Track (plenary talk) in the Conference for ICT-Research in the Netherlands (ICT.OPEN). 2018.
   •
At the AMC Radiation Oncology reference meeting. 2018.
   •
At the department research meeting of the Medical Informatics department at the Academic Medical Center (AMC). 2018.
   •
At the seminar of the AI section of the Department of Computer Sciences of the Vrije Universiteit Amsterdam. 2018.
   •
At the bi-annual RKF (Radiotherapeutische Klinische Fysica) Scientific Project Day. 2017.
   •
At the Model-Based Evolutionary Algorithms - MBEA workshop at the Genetic and Evolutionary Computation Conference - GECCO. 2017.
   •
At the seminar of the ALICE research group at the University of Groningen. 2017.
   •
At the IPA Herfstdagen on "Algorithms and Models for Real-Life Systems". 2015.
   •
At the physics seminar of the department of Radiation Oncology at the Amsterdam Medical Center (AMC). 2013.
   •
At the minisymposium Issues of Modeling & Uncertainty in Simulation-Based Applications of Optimization at the SIAM Conference on Optimization. 2011.
   •
At the Bridging the Gap (BTG) Workshop 7 on Dynamic Optimisation in an Uncertain World: Challenges and State-of-the-Art. 2011.
   •
At the Optimization by Building and Using Probabilistic Models - OBUPM workshop at the Genetic and Evolutionary Computation Conference - GECCO. 2005, 2006, 2010.
   •
At the ORMS seminar of Warwick Business School. 2010.
   •
At the seminar on Operations Research of CentER (business & economics research insitute of Tilburg University). 2009.
   •
At the Dagstuhl Seminar Sampling-based Optimization in the Presence of Uncertainty. 2009
   •
At the IPA Herfstdagen on "Beyond Turing". 2007.
   •
At the seminar of the Department of Logistics, University of Mannheim. 2006.

International visits and visitors
   •
2-day visit to Prof.dr. M. Zhang and Dr. B. Xue at Victoria University of Wellington, New Zealand. 2018.
   •
2-day visit to Dr. M. Gallagher at University of Queensland, Australia. 2018.
   •
2-day visit to Prof.dr. H. Abbass at University of New South Wales Canberra, Australia. 2018.
   •
2-day visit to Prof.dr. X. Li at Royal Melbourne Institute of Technology, Australia. 2018.
   •
2-day visit to Dr. M. Wagner and Prof.dr. F. Neumann at University of Adelaide, Australia. 2018.
   •
1-day visit to Dr. M. Schoenauer, Dr. N. Hansen, and Dr. Anne Auger at INRIA, France. 2018.
   •
4-day visit at CWI by Prof.dr. K. Deb from Michigan State University, USA. 2018.
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1-week visit at CWI by Dr. M. Gallagher from University of Queensland, Australia. 2015.
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1-week visit at CWI by M.Sc. R. Morgan from University of Queensland, Australia. 2014.
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3-day visit at CWI by Dr. G. Gray from Sandia National Laboratories, USA. 2012.
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1-week visit to Prof.dr. J. Branke at Warwick Business School, Coventry, UK. 2010.
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1-week visit to Prof.dr. S. Minner and M.Sc. J. Grahl, Mannheim, Germany. 2006.

Appearances in popular media
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"Hoe helpen wiskunde en informatica bij het bestralen van kanker?". YouTube video as part of NWO (Dutch national science foundation) outreach campaign pertaining to its scientific institutes. 2018. https://www.youtube.com/watch?v=oqfvU8sovN0
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"Efficiënter kanker bestralen met algoritmes". BNR Nieuwsradio, Hemmen. 2018. https://www.youtube.com/watch?v=Ou3ZB45n6bk
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"Robotvriendje helpt kind met kanker". Multiple news outlets, including NU.nl, RTLNieuws.nl, and Metronieuws.nl, 2017.
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"Robotje Marv moet kind met kanker bij gaan staan". Het Parool, 2017.
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"Buddy in de behandelkamer". KWF website (onderzoeker van de week), 2017.
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"Een robot die kan troosten". AMC magazine, 2016.
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"Informatici verbeteren bestralingstherapie". Technisch weekblad, 2015.
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"Betere ICT voor betere bestraling". I/O magazine, 2015.
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"CWI verbetert ICT voor kankerbestraling". Computable, 2015.
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"CWI verbetert IT achter bestraling van kankerpatiënten". Automatiseringsgids, 2015.
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"Beter door Informatica". AMC magazine, 2015.

Project manager/leader besides projects pertaining to own research grants
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BSIK (ICES/KIS-3) project: Basic Research in Informatics for Creating the Knowledge Society - BRICKS. 2008, 2009, 2010.
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BRICKS project: Decision Support Systems for Logistic Networks and Supply Chain Optimization (IS3). 2008, 2009.

Educational activities                                                                                                                                                         
(Co-)lecturer
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Ph.D. course Basic Course Algorithms and Complexity (full day) at IPA research school. 2007, 2010, 2013, 2016.
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Ph.D. course Computational Intelligence (half day) at SIKS research school. 2006, 2009.
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M.Sc. course Evolutionary Algorithms at Delft University of Technology. 2019.
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M.Sc. course Literature Study at Delft University of Technology. 2015.
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M.Sc. course Combinatorial Solvers at Delft University of Technology. 2013, 2014.
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M.Sc. course Advanced Algorithms at Delft University of Technology. 2009, 2010, 2011, 2012.
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M.Sc. course Statistical Learning at Utrecht University. 2002, 2003.
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B.Sc. course Bachelor Seminar at Delft University of Technology. 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018.
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B.Sc. course Search Algorithms at Utrecht University. 2003.
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B.Sc. course Software Project at Utrecht University. 2002, 2003.

Guest lecturer
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M.Sc. course Evolutionary Algorithms at Utrecht University. 2009, 2010, 2011, 2012, 2013.
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M.Sc. course Evolutionary Algorithms at Radboud University Nijmegen. 2009.
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B.Sc. course Representing and Searching at Utrecht University. 2002.

Assistant lecturer
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M.Sc. course Evolutionary Algorithms at Utrecht University. 1998, 1999, 2000, 2001.
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B.Sc. course Datastructures at Utrecht University. 2000.
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B.Sc. course Algorithms \& Datastructures II at Utrecht University. 1999.
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B.Sc. course Formal Methods at Utrecht University. 1998.

Student Teaching Assistant
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10 various homework sessions (werkcolleges) and practical works (practica) for courses Imperative Programming, Implementation of Programming Languages, Program Composition and Evolutionary Algorithms at Utrecht University. 1995-1998.

Promotional committee member
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The information-for-candidate-students committee for Computer Sience and Information Science at Utrecht University. 2003.

Student Promotional Assistant
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Information for candidate students on information days at Utrecht University. 1995-1998.