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Automating Representation Discovery with MAP-Elites., , и . CoRR, (2020)A Deep Dive Into Exploring the Preference Hypervolume., , и . ICCC, стр. 394-397. Association for Computational Creativity (ACC), (2020)Evolving look ahead controllers for energy optimal driving and path planning., и . INISTA, стр. 138-145. IEEE, (2014)Designing Air Flow with Surrogate-Assisted Phenotypic Niching., , , и . PPSN (1), том 12269 из Lecture Notes in Computer Science, стр. 140-153. Springer, (2020)Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model., , , и . Int. J. Comput. Sci. Sport, 18 (1): 115-134 (2019)Multimodal Segmentation Neural Network to Determine the Cause of Damage to Grasslands., , , и . SoftCOM, стр. 1-6. IEEE, (2021)Are quality diversity algorithms better at generating stepping stones than objective-based search?, , и . GECCO (Companion), стр. 115-116. ACM, (2019)Modeling user selection in quality diversity., , и . GECCO, стр. 116-124. ACM, (2019)Evolution of optimal control for energy-efficient transport., и . Intelligent Vehicles Symposium, стр. 1121-1126. IEEE, (2014)Training Simulation with Nothing but Training Data - Simulating Performance based on Training Data Without the Help of Performance Diagnostics in a Laboratory., , и . icSPORTS, стр. 75-82. SciTePress, (2016)