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

, , and . GECCO Companion, page 1674-1682. ACM, (2021)

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Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms., and . SSCI, page 2066-2073. IEEE, (2019)The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems., and . IEEE Trans. Evol. Comput., 19 (1): 103-117 (2015)Precision and Recall Optimisation for Information Access Tasks., , and . ROCAI, page 45-54. (2004)The Bayesian Decision Tree Technique with a Sweeping Strategy, , , , , , and . CoRR, (2005)Variational Autoencoders Without the Variation., , and . CoRR, (2022)Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique., , , , , , and . J. Math. Model. Algorithms, 5 (4): 397-416 (2006)Computationally efficient local optima network construction.. GECCO (Companion), page 1481-1488. ACM, (2018)Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training.. University of Exeter, Devon, UK, (2003)British Library, EThOS.Asynchronous ε-Greedy Bayesian Optimisation., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 578-588. AUAI Press, (2021)Editorial to the "Best of GECCO 2022" Special Issue: Part I., and . ACM Trans. Evol. Learn. Optim., 3 (2): 4:1-4:2 (June 2023)