Gebken, Bennet. “A Note on the Convergence of Deterministic Gradient Sampling in Nonsmooth Optimization.”10.1007/s10589-024-00552-0__Computational Optimization and Applications, Springer Science and Business Media LLC, 2024, doi:10.1007/s10589-024-00552-0.

Bick, Christian, and Sören von der Gracht. “Heteroclinic Dynamics in Network Dynamical Systems with Higher-Order Interactions.”10.1093/comnet/cnae009__Journal of Complex Networks, vol. 12, no. 2, Oxford University Press (OUP), 2024, doi:10.1093/comnet/cnae009.

Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.”10.1145/3594805.3607136__Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2023, pp. 129–139, doi:10.1145/3594805.3607136.

Bossek, Jakob, et al. “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.”10.1145/3583131.3590384__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2023, pp. 248–256, doi:10.1145/3583131.3590384.

Tao, Youshan, and Michael Winkler. “Global Smooth Solutions in a Three-Dimensional Cross-Diffusive SIS Epidemic Model with Saturated Taxis at Large Densities.”10.3934/eect.2023031__Evolution Equations and Control Theory, vol. 12, no. 6, American Institute of Mathematical Sciences (AIMS), 2023, pp. 1676–87, doi:10.3934/eect.2023031.

Caillau, Jean-Baptiste, et al. “Turnpike Property in Optimal Microbial Metabolite Production.”10.1007/s10957-022-02023-0__Journal of Optimization Theory and Applications, Springer Science and Business Media LLC, 2022, doi:10.1007/s10957-022-02023-0.

Bonnard, Bernard, et al. “Accessibility Properties of Abnormal Geodesics in Optimal Control Illustrated by Two Case Studies.”10.3934/mcrf.2022052__Mathematical Control and Related Fields, vol. 0, no. 0, American Institute of Mathematical Sciences (AIMS), 2022, pp. 0–0, doi:10.3934/mcrf.2022052.

Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.”https://doi.org/10.1016/j.ifacol.2022.07.282__14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282.

Philipo, Godiana Hagile, et al. “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.”10.3390/en15145215__Energies, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:10.3390/en15145215.

Philipo, Godiana Hagile, et al. “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.”10.3390/en15145215__Energies, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:10.3390/en15145215.

Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–94.

Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.”10.1007/978-3-031-14714-2_14__Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14.

Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.”10.1145/3520304.3528998__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.

Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.

Schemmel, Reinhard, et al. “Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.”https://doi.org/10.1016/j.microrel.2021.114077__Microelectronics Reliability, vol. 119, 2021, p. 114077, doi:https://doi.org/10.1016/j.microrel.2021.114077.

Grimme, Christian, et al. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.”https://doi.org/10.1016/j.cor.2021.105489__Computers &; Operations Research, vol. 136, 2021, p. 105489, doi:https://doi.org/10.1016/j.cor.2021.105489.

Bossek, Jakob, et al. “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.”10.1145/3449639.3459364__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 556–564, doi:10.1145/3449639.3459364.

Bossek, Jakob, and Frank Neumann. “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem.”10.1145/3449639.3459363__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 198–206, doi:10.1145/3449639.3459363.

Bossek, Jakob, et al. “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.”10.1007/s00453-021-00838-3__Algorithmica, vol. 83, no. 10, 2021, pp. 3148–3179, doi:10.1007/s00453-021-00838-3.

Castenow, Jannik, et al. “The Online Multi-Commodity Facility Location Problem.”10.1145/3350755.3400281__Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020, doi:10.1145/3350755.3400281.

Bonnard, Bernard, et al. “A Zermelo Navigation Problem with a Vortex Singularity.”10.1051/cocv/2020058__ESAIM: Control, Optimisation and Calculus of Variations, vol. 27, , EDP Sciences, 2020, doi:10.1051/cocv/2020058.

Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, 2020, p. 105901, doi:https://doi.org/10.1016/j.asoc.2019.105901.

Bossek, Jakob, et al. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.”10.1145/3377930.3390174__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1277–1285, doi:10.1145/3377930.3390174.

Bossek, Jakob, et al. “Evolving Sampling Strategies for One-Shot Optimization Tasks.”10.1007/978-3-030-58112-1_8__Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 111–124, doi:10.1007/978-3-030-58112-1_8.

Bossek, Jakob, et al. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.”10.1145/3377930.3390243__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 1286–1294, doi:10.1145/3377930.3390243.

Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.”10.1145/3377930.3390146__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.

Bossek, Jakob, et al. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.”10.1145/3377930.3390155__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 778–786, doi:10.1145/3377930.3390155.

Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901.

Hippert, Benjamin, et al. “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe.”https://doi.org/10.1007/s11147-018-9148-8__Review of Derivatives Research , vol. 22, no. 2, 2019, pp. 203–59, doi:https://doi.org/10.1007/s11147-018-9148-8.

Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.”10.1007/978-3-030-12598-1_41__Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., Springer International Publishing, 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41.

Bossek, Jakob, et al. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.”10.1145/3299904.3340307__Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2019, pp. 58–71, doi:10.1145/3299904.3340307.

Bossek, Jakob, et al. “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring.”10.1145/3321707.3321792__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2019, pp. 1443–1451, doi:10.1145/3321707.3321792.

Bossek, Jakob, et al. “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem.”10.1145/3321707.3321818__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2019, pp. 516–523, doi:10.1145/3321707.3321818.

Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018.

Unger, Andreas, et al. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.”10.4071/2380-4505-2018.1.000572__In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577., 2018, doi:10.4071/2380-4505-2018.1.000572.

Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic Systems. Shaker, 2018.

Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.”10.1145/3205455.3205548__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2018, pp. 585–592, doi:10.1145/3205455.3205548.

Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.”10.1145/3205651.3208312__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2018, pp. 1350–1356, doi:10.1145/3205651.3208312.

Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.”10.1145/3205651.3208233__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233.

Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum Mechanics.’” Mathematics and Mechanics of Complex Systems, vol. 5, no. 3–4, 2017.

Kaul, Thorben, et al. “Formulation of Reliability-Related Objective Functions for Design of Intelligent Mechatronic Systems.”10.1177/1748006X17709376__SAGE Journals, vol. Vol. 231(4), 2017, pp. 390–99, doi:10.1177/1748006X17709376.

Ho, Nam, et al. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.”10.1109/FPT.2017.8280144__2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–18, doi:10.1109/FPT.2017.8280144.

Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.”10.1145/3067695.3082470__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2017, pp. 1187–1193, doi:10.1145/3067695.3082470.

Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem.”10.1109/SSCI.2017.8285183__2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi:10.1109/SSCI.2017.8285183.

Meyer , Tobias, et al. “Reliable Manufacturing of Heavy Copper Wire Bonds Using Online Parameter Adaptation.”10.1109/ECTC.2016.215__IEEE 66th Electronic Components and Technology Conference, 2016, pp. 622–28, doi:10.1109/ECTC.2016.215.

Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.”10.1007/978-3-319-49130-1_1__Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, Springer-Verlag, 2016, pp. 3–12, doi:10.1007/978-3-319-49130-1_1.

Ho, Nam, et al. “Microarchitectural Optimization by Means of Reconfigurable and Evolvable Cache Mappings.”10.1109/AHS.2015.7231178__Proc. NASA/ESA Conf. Adaptive Hardware and Systems (AHS), 2015, pp. 1–7, doi:10.1109/AHS.2015.7231178.

Stille, Karl Stephan Christian, et al. “Hierarchisches Optimierungskonzept Für Die Laststeuerung von Haushaltsgeräten.” ETG-Fachtagung “Von Smart Grids Zu Smart Markets,” VDE, 2015.

Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.”10.1145/2739480.2754673__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2015, pp. 1319–1326, doi:10.1145/2739480.2754673.

Meisel, Stephan, et al. “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.”10.1145/2739480.2754705__Proceedings of the Genetic and Evolutionary Computation Conference , Association for Computing Machinery, 2015, pp. 425–432, doi:10.1145/2739480.2754705.