Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. - Koen van der Blom; Sjonnie Boonstra; Hèrm Hofmeyer; Michael T. M. Emmerich (PPSN, 2016)

Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. - Koen van der Blom; Sjonnie Boonstra; Hèrm Hofmeyer; Thomas Bäck; Michael T. M. Emmerich (CEC, 2017)

A new foraging-based algorithm for online scheduling. - Koen van der Blom; Thomas Bäck (GECCO, 2018)

Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation. - Sjonnie Boonstra; Koen van der Blom; Hèrm Hofmeyer; Michael T. M. Emmerich; Jos van Schijndel; Pieter de Wilde (Adv. Eng. Informatics, 2018)

Analysing Optimisation Data for Multicriteria Building Spatial Design. - Koen van der Blom; Sjonnie Boonstra; Hèrm Hofmeyer; Michael Emmerich 001 (EMO, 2019)

Adoption and Effects of Software Engineering Best Practices in Machine Learning. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (ESEM, 2020)

Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. - Koen van der Blom; Timo M. Deist; Tea Tusar; Mariapia Marchi; Yusuke Nojima; Akira Oyama; Vanessa Volz; Boris Naujoks (GECCO Companion, 2020)

Identifying Properties of Real-World Optimisation Problems through a Questionnaire. - Koen van der Blom; Timo M. Deist; Vanessa Volz; Mariapia Marchi; Yusuke Nojima; Boris Naujoks; Akira Oyama; Tea Tusar (CoRR, 2020)

Practices for Engineering Trustworthy Machine Learning Applications. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (WAIN@ICSE, 2021)

PI is back! Switching Acquisition Functions in Bayesian Optimization. - Carolin Benjamins; Elena Raponi; Anja Jankovic 001; Koen van der Blom; Maria Laura Santoni; Marius Lindauer; Carola Doerr (CoRR, 2022)

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. - Carolin Benjamins; Anja Jankovic 001; Elena Raponi; Koen van der Blom; Marius Lindauer; Carola Doerr (CoRR, 2022)

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. - Koen van der Blom; Holger H. Hoos; Chuan Luo 002; Jeroen G. Rook (IEEE Trans. Evol. Comput., 2022)

Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. - Koen van der Blom; Timo M. Deist; Vanessa Volz; Mariapia Marchi; Yusuke Nojima; Boris Naujoks; Akira Oyama; Tea Tusar (Many-Criteria Optimization and Decision Analysis, 2023)

Benchmarking. - Vanessa Volz; Dani Irawan; Koen van der Blom; Boris Naujoks (Many-Criteria Optimization and Decision Analysis, 2023)

Software engineering practices for machine learning - Adoption, effects, and team assessment. - Alex Serban; Koen van der Blom; Holger H. Hoos; Joost Visser 001 (J. Syst. Softw., 2024)