| 2025 | EMO | Comparative Analysis of Indicators for Multi-objective Diversity Optimization. | Ksenia Pereverdieva, Andr H. Deutz, Tessa Ezendam, Thomas Bck, Hrm Hofmeyer, Michael T. M. Emmerich |
| 2025 | GECCO | Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. | Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, Andr H. Deutz, Oziel Corts-Pia, Oliver Schtze |
| 2023 | EMO | The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. | Andr H. Deutz, Michael Emmerich, Hao Wang |
| 2023 | EMO | The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. | Ksenia Pereverdieva, Michael Emmerich, Andr H. Deutz, Tessa Ezendam, Thomas Bck, Hrm Hofmeyer |
| 2020 | PPSN | Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones. | Yali Wang, Andr H. Deutz, Thomas Bck, Michael Emmerich |
| 2019 | EMO | The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization. | Andr H. Deutz, Michael Emmerich, Kaifeng Yang |
| 2019 | EMO | Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA. | Yali Wang, Michael Emmerich, Andr H. Deutz, Thomas Bck |
| 2017 | EMO | Hypervolume Indicator Gradient Ascent Multi-objective Optimization. | Hao Wang, Andr H. Deutz, Thomas Bck, Michael Emmerich |
| 2017 | EMO | Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. | Kaifeng Yang, Michael Emmerich, Andr H. Deutz, Carlos M. Fonseca |
| 2016 | CEC | Truncated expected hypervolume improvement: Exact computation and application. | Kaifeng Yang, Andr H. Deutz, Zhiwei Yang, Thomas Bck, Michael T. M. Emmerich |
| 2016 | ICNC | Preference-based multiobjective optimization using truncated expected hypervolume improvement. | Kaifeng Yang, Longmei Li, Andr H. Deutz, Thomas Bck, Michael Emmerich |
| 2016 | PPSN | Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. | Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, Andr H. Deutz, Heike Trautmann, Michael Emmerich |
| 2015 | EMO | Faster Exact Algorithms for Computing Expected Hypervolume Improvement. | Iris Hupkens, Andr H. Deutz, Kaifeng Yang, Michael T. M. Emmerich |
| 2013 | EMO | Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation. | Michael Emmerich, Andr H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla |
| 2013 | EMO | A Theoretical Analysis of Curvature Based Preference Models. | Pradyumn Kumar Shukla, Michael Emmerich, Andr H. Deutz |
| 2011 | CEC | Hypervolume-based expected improvement: Monotonicity properties and exact computation. | Michael T. M. Emmerich, Andr H. Deutz, Jan Willem Klinkenberg |
| 2011 | GECCO | Using the uncertainty handling CMA-ES for finding robust optima. | Johannes W. Kruisselbrink, Edgar Reehuis, Andr H. Deutz, Thomas Bck, Michael Emmerich |
| 2010 | CEC | A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES. | Johannes W. Kruisselbrink, Michael T. M. Emmerich, Andr H. Deutz, Thomas Bck |
| 2010 | GECCO | Getting lost or getting trapped: on the effect of moves toincomparable points in multiobjective hillclimbing. | Michael Emmerich, Andr H. Deutz, Rui Li, Johannes W. Kruisselbrink |
| 2010 | PPSN | Exploiting Overlap When Searching for Robust Optima. | Johannes W. Kruisselbrink, Michael Emmerich, Andr H. Deutz, Thomas Bck |
| 2010 | PPSN | On Expected-Improvement Criteria for Model-based Multi-objective Optimization. | Tobias Wagner, Michael Emmerich, Andr H. Deutz, Wolfgang Ponweiser |
| 2007 | EMO | Test Problems Based on Lam Superspheres. | Michael T. M. Emmerich, Andr H. Deutz |
| 2007 | FUN | High Spies (or How to Win a Programming Contest). | Andr H. Deutz, Rudy van Vliet, Hendrik Jan Hoogeboom |