Koen van der Blom

According to our database, Koen van der Blom authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Software engineering practices for machine learning - Adoption, effects, and team assessment.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

J. Syst. Softw., March, 2024

2023

Benchmarking.

Vanessa Volz, Dani Irawan, Koen van der Blom, Boris Naujoks

Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

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

Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

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, Jeroen G. Rook

IEEE Trans. Evol. Comput., 2022

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis.

Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr

CoRR, 2022

PI is back! Switching Acquisition Functions in Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr

CoRR, 2022

2021

Practices for Engineering Trustworthy Machine Learning Applications.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

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

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

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Adoption and Effects of Software Engineering Best Practices in Machine Learning.

Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Analysing Optimisation Data for Multicriteria Building Spatial Design.

Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael Emmerich

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

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

A new foraging-based algorithm for online scheduling.

Koen van der Blom, Thomas Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation.

Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms.

Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016