Koen van der Blom
Koen van der Blom
Postdoc, LIACS, Leiden University
liacs.leidenuniv.nl üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation
S Boonstra, K van der Blom, H Hofmeyer, M Emmerich, J van Schijndel, ...
Advanced Engineering Informatics 36, 86-100, 2018
182018
Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation
K van der Blom, S Boonstra, H Hofmeyer, T Bäck, MTM Emmerich
2017 IEEE Congress on Evolutionary Computation (CEC), 1803-1810, 2017
142017
Multicriteria building spatial design with mixed integer evolutionary algorithms
K van der Blom, S Boonstra, H Hofmeyer, MTM Emmerich
International Conference on Parallel Problem Solving from Nature, 453-462, 2016
132016
A super-structure based optimisation approach for building spatial designs
K van der Blom, S Boonstra, H Hofmeyer, MTM Emmerich
VII European Congress on Computational Methods in Applied Sciences and …, 2016
112016
Super-structure and super-structure free design search space representations for a building spatial design in multi-disciplinary building optimisation
S Boonstra, K van der Blom, H Hofmeyer, R Amor, MTM Emmerich
23rd International Workshop of the European Group for Intelligent Computing …, 2016
102016
Adoption and effects of software engineering best practices in machine learning
A Serban, K van der Blom, H Hoos, J Visser
Proceedings of the 14th ACM/IEEE International Symposium on Empirical …, 2020
82020
Combined super-structured and super-structure free optimisation of building spatial designs
S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich
24rd International Workshop of the European Group for Intelligent Computing …, 2017
82017
Conceptual structural system layouts via design response grammars and evolutionary algorithms
S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich
Automation in Construction 116, 103009, 2020
62020
Towards single-and multiobjective bayesian global optimization for mixed integer problems
K Yang, K van der Blom, T Bäck, M Emmerich
AIP Conference Proceedings 2070 (1), 020044, 2019
52019
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems
K van der Blom, TM Deist, T Tušar, M Marchi, Y Nojima, A Oyama, V Volz, ...
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
Coupling between a building spatial design optimisation toolbox and BouwConnect BIM
S Boonstra, K van der Blom, H Hofmeyer, J van den Buijs, MTM Emmerich
Advances in Informatics and Computing in Civil and Construction Engineering …, 2019
32019
Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent
K van der Blom, S Boonstra, H Wang, H Hofmeyer, MTM Emmerich
Numerical and Evolutionary Optimization, 62-86, 2018
32018
Co-evolutionary Design Processes Applied to Building Spatial Design Optimization
S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich
World Congress of Structural and Multidisciplinary Optimization, 1-6, 2019
22019
Analysing Optimisation Data for Multicriteria Building Spatial Design
K van der Blom, S Boonstra, H Hofmeyer, MTM Emmerich
10th International Conference on Evolutionary Multi-Criterion Optimization …, 2019
22019
Sparkle: Towards Automated Algorithm Configuration for Everyone
K van der Blom, C Luo, HH Hoos
COSEAL Workshop 2019, 2019
12019
Towards multi-objective mixed integer evolution strategies
K van der Blom, K Yang, T Bäck, M Emmerich
AIP Conference Proceedings 2070 (1), 020046, 2019
12019
A New Foraging-Based Algorithm for Online Scheduling
K van der Blom, T Bäck
2018 Genetic and Evolutionary Computation Conference, 53-60, 2018
12018
Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization
S Boonstra, K van der Blom, H Hofmeyer, MTM Emmerich
Automation in Construction 124, 103522, 2021
2021
Practices for Engineering Trustworthy Machine Learning Applications
A Serban, K van der Blom, H Hoos, J Visser
arXiv preprint arXiv:2103.00964, 2021
2021
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
K van der Blom, TM Deist, V Volz, M Marchi, Y Nojima, B Naujoks, ...
arXiv preprint arXiv:2011.05547, 2020
2020
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20