Grimme, Christian, et al. “Multimodality in Multi-Objective Optimization — More Boon than Bane?”10.1007/978-3-030-12598-1_11__Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb et al., vol. 11411, Springer, 2019, pp. 126–138, doi:10.1007/978-3-030-12598-1_11.

Bossek, J., and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time.” Learning and Intelligent Optimization, edited by R Battiti et al., vol. 11353, Springer, 2019, pp. 215–219.

Grimme, Christian, et al. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.”10.1063/1.5090019__AIP Conference Proceedings, AIP Publishing, 2019, pp. 020052-1-020052–54, doi:10.1063/1.5090019.

Wille, Manuel. “Prinzipien Und Strategien Der Textgliederung in Den Zeitungen Des 18. Jahrhunderts – Eine Computerbasierte Korpusanalyse.” Textgliederungsprinzipien. Ihre Kennzeichnungsformen Und Funktionen Vom 8. Bis 18. Jahrhundert. Akten Zum Internationalen Kongress Vom 22. Bis 24. Juni 2017 an Der Universität St. Petersburg, edited by Franz Simmler and Galina Baeva, vol. 34, Weidler, 2019, pp. 507–31.

Schuster, Britt-Marie. “Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878.” Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen in Texten vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress an der Staatlichen Universität St. Petersburg vom 22. bis 24. Juni 2017, edited by Franz  Simmler and Galina Baeva, WEIDLER, 2019, pp. 293–312.

Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.”10.1007/978-3-030-25147-5_7__Applications in Statistical Computing, edited by Nadja Bauer et al., Springer, 2019, pp. 93–123, doi:10.1007/978-3-030-25147-5_7.

Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.”10.1162/evco_a_00236__Evolutionary Computation (ECJ), vol. 27, no. 1, 2019, pp. 99–127, doi:10.1162/evco_a_00236.

Kerschke, Pascal, et al. “Search Dynamics on Multimodal Multi-Objective Problems.”10.1162/evco_a_00234__Evolutionary Computation (ECJ), vol. 27, no. 4, 2019, pp. 577–609, doi:10.1162/evco_a_00234.

Gräßler, Iris, et al. “Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See.” Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019, edited by Uwe Lukas et al., Fraunhofer Verlag, 2019, pp. 45–57.

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.

Bossek, Jakob, and Christian Grimme. “Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-Criteria Shortest Path Problems.”10.1007/978-3-030-05348-2_17__Learning and Intelligent Optimization, edited by Roberto Battiti et al., Springer International Publishing, 2019, pp. 184–198, doi:10.1007/978-3-030-05348-2_17.

Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time.”10.1007/978-3-030-05348-2_19__Learning and Intelligent Optimization, edited by Roberto Battiti et al., Springer International Publishing, 2019, pp. 215–219, doi:10.1007/978-3-030-05348-2_19.

Moritzer, Elmar, et al. “Process Parameter Optimization to Improve the Mechanical Properties of Arburg Plastic Freeformed Components.”http://dx.doi.org/10.26153/tsw/17308__30th Annual International Solid Freeform Fabrication Symposium, vol. 30, 2019, pp. 705–14, doi:http://dx.doi.org/10.26153/tsw/17308.

Soleymani, Mohammad, et al. “Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling.”10.3390/e21100922__Entropy, vol. 21, no. 10, 922, MDPI AG, 2019, doi:10.3390/e21100922.

Beverungen, Daniel, et al. “Conceptualizing Smart Service Systems.”10.1007/s12525-017-0270-5__Electronic Markets, vol. 29, SpringerNature, 2019, pp. 7–18, doi:10.1007/s12525-017-0270-5.

Mousavi, Seyed Mohsen, et al. “A Tuned Hybrid Intelligent Fruit Fly Optimization Algorithm for Fuzzy Rule Generation and Classification.”10.1007/s00521-017-3115-4__Neural Computing and Applications, vol. 31, no. 3, Springer Science and Business Media LLC, 2019, pp. 873–85, doi:10.1007/s00521-017-3115-4.

Mousavi, Seyed Mohsen, et al. “An Improved Particle Swarm Optimization Model for Solving Homogeneous Discounted Series-Parallel Redundancy Allocation Problems.”10.1007/s10845-017-1311-9__Journal of Intelligent Manufacturing, vol. 30, no. 3, Springer Science and Business Media LLC, 2019, pp. 1175–94, doi:10.1007/s10845-017-1311-9.