Koen van der Blom

Post-doctoral researcher at LIP6, Sorbonne University [staff profile]
Previously post-doctoral researcher at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University [staff profile]
Member of the RO team at LIP6.
Previoulsy part of the ADA research group as a post-doctoral researcher, working on automated machine learning, algorithm configuration
Previously part of the Multicriteria Optimization and Decision Analysis (MODA) and Natural Computing (NACO) research groups as a PhD candiate
Contact: k.van.der.blom@liacs.leidenuniv.nl
ORCID: 0000-0002-4653-0707
Google Scholar
ResearchGate

Publications

No access? PDFs are available via email on request.

Recent

[PDF|bib] Blom K. van der, Hoos. H.H., Luo C. & Rook J.G. (2022-10-19), Sparkle: Towards Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. In: IEEE Transactions on Evolutionary Computation: IEEE. 14 pages.
Journal paper: refereed
[slides] Blom K. van der & Rook J. (2022-09-10), Automated Algorithm Configuration and Selection with Sparkle. In: Parallel Problem Solving from Nature – PPSN XVII. Dortmund, Germany.
Tutorial
[PDF|poster|bib] Blom K. van der, Serban A., Hoos H. & Visser J. (2021-07-23), AutoML Adoption in ML Software. In: 8th ICML Workshop on Automated Machine Learning: 13 pages.
Workshop paper: refereed
[PDF|bib] Serban A., Blom K. van der, Hoos H. & Visser J. (2021-05-30), Practices for Engineering Trustworthy Machine Learning Applications. In: 1st workshop on AI Engineering, WAIN'21: 4 pages.
Workshop paper: refereed
[PDF|bib] Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2021-01-25), Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization. In: Automation in Construction 124: Elsevier. 103522.
Journal paper: refereed

Papers

[PDF|video|bib] Serban A., Blom K. van der, Hoos H. & Visser J. (2020-10-06), Adoption and Effects of Software Engineering Best Practices in Machine Learning. In: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM): 12 pages.
Conference paper: refereed
[PDF|video|poster|bib] Blom K. van der, Deist T., Tušar T., Marchi M., Nojima Y., Oyama A., Volz V. & Naujoks B. (2020-07-08), Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion: ACM. 293-294.
Poster paper: refereed
[PDF|bib] Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2020-05-24), Conceptual structural system layouts via design response grammars and evolutionary algorithms. In: Automation in Construction 116: Elsevier. 103009.
Journal paper: refereed
[PDF|bib] Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2019-12-01), Co-Evolutionary Design Processes Applied to Building Spatial Design Optimization. In: Guo X., Huang H. (Eds.) Advances in Structural and Multidisciplinary Optimization. Proceedings of the 13th World Congress of Structural and Multidisciplinary Optimization (WCSMO13): 110-115.
Conference paper: refereed
[PDF|slides] Blom K. van der, Yang K., Bäck T. & Emmerich M.T.M. (2019-02-12), Towards Multi-objective Mixed Integer Evolution Strategies. In: Emmerich M.T.M., Deutz A.H., Hille S.C., Sergeyev Y.D. (Eds.) Proceedings LeGO - 14th International Global Optimization Workshop: AIP Publishing. 020046.
Workshop paper: refereed
[PDF|slides] Yang K., Blom K. van der, Bäck T. & Emmerich M.T.M. (2019-02-12), Towards Single- and Multiobjective Bayesian Global Optimization for Mixed Integer Problems. In: Emmerich M.T.M., Deutz A.H., Hille S.C., Sergeyev Y.D. (Eds.) Proceedings LeGO - 14th International Global Optimization Workshop: AIP Publishing. 020044.
Workshop paper: refereed
[PDF|slides|bib] Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2019-02-03), Analysing Optimisation Data for Multicriteria Building Spatial Design. In: Deb K., Coello Coello C.A., Klamroth K., Miettinen K., Mostaghim S., Reed P. (Eds.) Evolutionary Multi-Criterion Optimization: Springer. 671-682.
Conference paper: refereed
[PDF] Boonstra S., Blom K. van der, Hofmeyer H., Buijs J. van den & Emmerich M.T.M. (2018-10-04), Coupling Between a Building Spatial Design Optimisation Toolbox and BouwConnect BIM. In: Mutis I., Hartmann T. (Eds.) Advances in Informatics and Computing in Civil and Construction Engineering - Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management: Springer. 95-102.
Conference paper: refereed
[PDF|slides] Blom K. van der & Bäck T. (2018-07-15), A New Foraging-Based Algorithm for Online Scheduling. In: Proceedings of the 2018 Genetic and Evolutionary Computation Conference: ACM. 53-60.
Conference paper: refereed
[PDF] Blom K. van der, Boonstra S., Wang H., Hofmeyer H. & Emmerich M.T.M. (2018-07-13), Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent. In: Trujillo L., Schütze O., Maldonado Y., Valle P. (Eds.) Numerical and Evolutionary Optimization – NEO 2017: Springer. 62-86.
Book chapter: refereed
[PDF] Boonstra S., Blom K. van der, Hofmeyer H., Emmerich M.T.M., Schijndel J. van & Wilde P. de (2018-03-20), Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation. In: Advanced Engineering Informatics 36: Elsevier. 86-100.
Journal paper: refereed
[PDF] Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2017-07-10), Combined Super-Structured and Super-Structure Free Optimisation of Building Spatial Designs. In: Koch C., Tizani W., Ninić J. (Eds.) 24rd International Workshop of the European Group for Intelligent Computing in Engineering: University of Nottingham. 23-34.
Conference paper: refereed
[PDF|slides] Blom K. van der, Boonstra S., Hofmeyer H., Bäck T. & Emmerich M.T.M. (2017-06-05), Configuring Advanced Evolutionary Algorithms for Multicriteria Building Spatial Design Optimisation. In: 2017 IEEE Congress on Evolutionary Computation (CEC): IEEE. 1803-1810.
Conference paper: refereed
[PDF|poster] Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2016-09-17), Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. In: Handl J., Hart E., Lewis P.R., López-Ibáñez M., Ochoa G., Paechter B. (Eds.) Parallel Problem Solving from Nature – PPSN XIV: Springer International Publishing AG. 453-462.
Conference paper: refereed
[PDF] Boonstra S., Blom K. van der, Hofmeyer H., Amor R. & Emmerich M.T.M. (2016-06-29), Super-Structure and Super-Structure Free Design Search Space Representations for a Building Spatial Design in Multi-Disciplinary Building Optimisation. In: Electronic proceedings of the 23rd International Workshop of the European Group for Intelligent Computing in Engineering: Jagiellonian University ZPGK. 1-10.
Recipient of the EG ICE 2016 Best Paper Award.
Conference paper: refereed
[PDF|slides] Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2016-06-05), A Super-Structure Based Optimisation Approach for Building Spatial Designs. In: Papadrakakis M., Papadopoulos V., Stefanou G., Plevris V. (Eds.) Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016): National Technical University of Athens. 3409-3422.
Conference paper: refereed

Abstracts

[PDF|slides|poster] Blom K. van der, Luo C. & Hoos H.H. (2019-08-26), Sparkle: Towards Automated Algorithm Configuration for Everyone. In: Configuration and Selection of Algorithms Workshop (COSEAL) 2019. Potsdam, Germany.
Abstract
[PDF|slides] Blom K. van der, Boonstra S., Emmerich M.T.M. & Hofmeyer H. (2017-09-29), Hypervolume Gradient Ascent for Memetic Building Spatial Design Optimisation. In: Numerical and Evolutionary Optimization Workshop 2017. Tijuana, Mexico.
Abstract

Theses and Miscellaneous

[PDF|bib] Blom K. van der (2019-12-11), Multi-Objective Mixed-Integer Evolutionary Algorithms for Building Spatial Design. Supervision: Emmerich M.T.M., Bäck T. & Hofmeyer H.
Nominated for the 2019 C.J. Kok Jury Award for the Best PhD Thesis (Faculty of Science, Leiden University).
Honorable mention of the 2020 ACM SIGEVO Best Dissertation Award.
PhD thesis
[PDF|slides] Blom K. van der (2014-11-11), Insect Division of Labour Applied to Online Scheduling. Supervision: Bäck T. & Emmerich M.T.M.
Master's thesis
[PDF] Blom K. van der (2013-12-18), Qualities of Colony Insect Division of Labour Models. Supervision: Bäck T.
Three month master's research project

Talks

[slides] Blom K. van der, Deist T., Marchi M., Naujoks B., Nojima Y., Oyama A., Tušar T. & Volz V. (2022-06-01), Benchmarking for the real world: Diversity in optimisation problems. In: Lorentz Center Workshop, Benchmarked: Optimization meets Machine Learning 2022. Leiden, The Netherlands.
Talk
[slides] Blom K. van der, Rook J., Hoos H.H. & Luo C. (2022-05-30), Sparkle: Making meta-algorithms accessible. In: Lorentz Center Workshop, Benchmarked: Optimization meets Machine Learning 2022. Leiden, The Netherlands.
Talk
[slides] Blom K. van der, Luo C. & Hoos H.H. (2020-11-09), Sparkle: Accessible Meta-Algorithmics. In: Lorentz Center Workshop, Benchmarked: Optimization meets Machine Learning 2020. Leiden, The Netherlands.
Talk

Teaching

Lectures

[slides] Blom K. van der (2022-05-06), Best Practices: Software Engineering, Machine Learning, and AutoML. In: Baratchi M. (Lecturer) Machine Learning: Feb. 2021-June 2022.
Guest lecture, Bachelor Artificial Intelligence, 2nd year
[slides] Blom K. van der (2021-05-21), Best Practices: Software Engineering, Machine Learning, and AutoML. In: Baratchi M. (Lecturer) Machine Learning: Feb. 2020-June 2021.
Guest lecture, Bachelor Artificial Intelligence, 2nd year

Assistance

[web] Databases (DB). Lecturer: Michael Emmerich. Feb. 2018-June 2018
Bachelor Informatica, 1st year
[web] Natural Computing (NACO). Lecturer: Thomas Bäck. Sept. 2017-Jan. 2018
Bachelor Informatica, 3rd year
[web] Multicriteria Optimization and Decision Analysis (MODA). Lecturer: Michael Emmerich. Sept. 2017-Jan. 2018
Master Computer Science
[web] Natural Computing (NACO). Lecturer: Thomas Bäck. Feb. 2017-June 2017
Bachelor Informatica, 3rd year
[web] Bayesian Networks (BN). Lecturer: Peter Lucas. Feb. 2017-June 2017
Master Computer Science
[web] Multicriteria Optimization and Decision Analysis (MODA). Lecturer: Michael Emmerich. Sept. 2016-Jan. 2017
Master Computer Science
[web] Natural Computing (NACO). Lecturer: Thomas Bäck. Feb. 2016-June 2016
Bachelor Informatica, 3rd year
[web] Multicriteria Optimization and Decision Analysis (MODA). Lecturer: Michael Emmerich. Sept. 2015-Jan. 2016
Master Computer Science