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Towards population-based fitness landscape analysis using local optima networks.

, , и . GECCO Companion, стр. 1674-1682. ACM, (2021)

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Multi-modal optimisation using a localised surrogates assisted evolutionary algorithm.. UKCI, стр. 88-95. IEEE, (2013)A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions., , , и . CoRR, (2019)Towards a Many-Objective Optimiser for University Course Timetabling., , и . EA, том 14091 из Lecture Notes in Computer Science, стр. 133-144. Springer, (2022)Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles., , , , , , и . IDEAL, том 3177 из Lecture Notes in Computer Science, стр. 726-732. Springer, (2004)What do you mean?: the role of the mean function in bayesian optimisation., , и . GECCO Companion, стр. 1623-1631. ACM, (2020)A Variable Metric Probabilistic k-Nearest-Neighbours Classifier., и . IDEAL, том 3177 из Lecture Notes in Computer Science, стр. 654-659. Springer, (2004)Efficient real-time hypervolume estimation with monotonically reducing error.. GECCO, стр. 532-540. ACM, (2019)On the efficient use of uncertainty when performing expensive ROC optimisation., и . IEEE Congress on Evolutionary Computation, стр. 3984-3991. IEEE, (2008)Visualising many-objective populations., , и . GECCO (Companion), стр. 451-458. ACM, (2012)Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization., , , , и . GECCO Companion, стр. 5-6. ACM, (2024)