HypE: An algorithm for fast hypervolume-based many-objective optimization J Bader, E Zitzler Evolutionary computation 19 (1), 45-76, 2011 | 2217 | 2011 |
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point A Auger, J Bader, D Brockhoff, E Zitzler Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic …, 2009 | 469 | 2009 |
A comprehensive measurement study of domain generating malware D Plohmann, K Yakdan, M Klatt, J Bader, E Gerhards-Padilla 25th USENIX Security Symposium (USENIX Security 16), 263-278, 2016 | 322 | 2016 |
Getafix: Learning to fix bugs automatically J Bader, A Scott, M Pradel, S Chandra Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-27, 2019 | 283 | 2019 |
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications A Auger, J Bader, D Brockhoff, E Zitzler Theoretical Computer Science 425, 75-103, 2012 | 236 | 2012 |
On set-based multiobjective optimization E Zitzler, L Thiele, J Bader IEEE Transactions on Evolutionary Computation 14 (1), 58-79, 2009 | 207 | 2009 |
Sapfix: Automated end-to-end repair at scale A Marginean, J Bader, S Chandra, M Harman, Y Jia, K Mao, A Mols, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 166 | 2019 |
Faster hypervolume-based search using Monte Carlo sampling J Bader, K Deb, E Zitzler Multiple Criteria Decision Making for Sustainable Energy and Transportation …, 2010 | 166 | 2010 |
Hypervolume-based search for multiobjective optimization: theory and methods JM Bader Johannes Bader, 2010 | 121 | 2010 |
Integrating decision space diversity into hypervolume-based multiobjective search T Ulrich, J Bader, E Zitzler Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 89 | 2010 |
Defining and optimizing indicator-based diversity measures in multiobjective search T Ulrich, J Bader, L Thiele International Conference on Parallel Problem Solving from Nature, 707-717, 2010 | 88 | 2010 |
Articulating user preferences in many-objective problems by sampling the weighted hypervolume A Auger, J Bader, D Brockhoff, E Zitzler Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 84 | 2009 |
Directed multiobjective optimization based on the weighted hypervolume indicator D Brockhoff, J Bader, L Thiele, E Zitzler Journal of Multi‐Criteria Decision Analysis 20 (5-6), 291-317, 2013 | 72 | 2013 |
SPAM: Set preference algorithm for multiobjective optimization E Zitzler, L Thiele, J Bader International Conference on Parallel Problem Solving from Nature, 847-858, 2008 | 68 | 2008 |
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences A Auger, J Bader, D Brockhoff, E Zitzler Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 66 | 2009 |
What it would take to use mutation testing in industry—a study at facebook M Beller, CP Wong, J Bader, A Scott, M Machalica, S Chandra, E Meijer 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 60 | 2021 |
HypE: An algorithm for fast hypervolume-based many-objective optimization. TIK Report 286 J Bader, E Zitzler Computer Engineering and Networks Laboratory (TIK), ETH Zurich, 2008 | 47 | 2008 |
Gradual program verification J Bader, J Aldrich, É Tanter Verification, Model Checking, and Abstract Interpretation: 19th …, 2018 | 40 | 2018 |
A hypervolume-based optimizer for high-dimensional objective spaces J Bader, E Zitzler New developments in multiple objective and goal programming, 35-54, 2010 | 40 | 2010 |
Theoretically Investigating Optimal μ-Distributions for the Hypervolume Indicator: First Results for Three Objectives A Auger, J Bader, D Brockhoff International Conference on Parallel Problem Solving from Nature, 586-596, 2010 | 37 | 2010 |