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Diversity-driven wide learning for training distributed classification models., , and . GECCO Companion, page 119-120. ACM, (2020)Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem., , and . EvoApplications, volume 11454 of Lecture Notes in Computer Science, page 49-63. Springer, (2019)An illumination algorithm approach to solving the micro-depot routing problem., , and . GECCO, page 1347-1355. ACM, (2019)An Investigation of the Factors Influencing Evolutionary Dynamics in the Joint Evolution of Robot Body and Control., , and . CoRR, (2024)Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics., and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 35-52. Springer, (2023)On the Utility of Probing Trajectories for Algorithm-Selection., and . EvoApplications@EvoStar, volume 14634 of Lecture Notes in Computer Science, page 98-114. Springer, (2024)WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets., , , and . EvoApplications, volume 12694 of Lecture Notes in Computer Science, page 649-664. Springer, (2021)On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme., and . GECCO Companion, page 1498-1502. ACM, (2021)Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples., and . CoRR, (2024)A deep learning approach to predicting solutions in streaming optimisation domains., , and . GECCO, page 157-165. ACM, (2020)