受强制性开放获取政策约束的文章 - Alexander Asteroth了解详情
无法在其他位置公开访问的文章：1 篇
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization
M Müller, A Hagg, R Strickstrock, M Hülsmann, A Asteroth, ...
Journal of Chemical Information and Modeling 63 (7), 1872-1881, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
可在其他位置公开访问的文章：11 篇
Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination
A Gaier, A Asteroth, JB Mouret
Proceedings of the Genetic and Evolutionary Computation Conference, 99-106, 2017
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Discovering representations for black-box optimization
A Gaier, A Asteroth, JB Mouret
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 103-111, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Evolving parsimonious networks by mixing activation functions
A Hagg, M Mensing, A Asteroth
Proceedings of the genetic and evolutionary computation conference, 425-432, 2017
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Are quality diversity algorithms better at generating stepping stones than objective-based search?
A Gaier, A Asteroth, JB Mouret
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Prototype discovery using quality-diversity
A Hagg, A Asteroth, T Bäck
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Designing air flow with surrogate-assisted phenotypic niching
A Hagg, D Wilde, A Asteroth, T Bäck
International Conference on Parallel Problem Solving from Nature, 140-153, 2020
强制性开放获取政策： German Research Foundation
Data-efficient neuroevolution with kernel-based surrogate models
A Gaier, A Asteroth, JB Mouret
Proceedings of the genetic and evolutionary computation conference, 85-92, 2018
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Expressivity of parameterized and data-driven representations in quality diversity search
A Hagg, S Berns, A Asteroth, S Colton, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 678-686, 2021
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Modeling user selection in quality diversity
A Hagg, A Asteroth, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 116-124, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
An analysis of phenotypic diversity in multi-solution optimization
A Hagg, M Preuss, A Asteroth, T Bäck
International Conference on Bioinspired Methods and Their Applications, 43-55, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-Optimization
A Hagg, ML Kliemank, A Asteroth, D Wilde, MC Bedrunka, H Foysi, ...
Evolutionary Computation 31 (3), 287-307, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
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