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Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems., , и . CEC, стр. 2066-2073. IEEE, (2015)Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management., , , и . GECCO, стр. 1547-1554. ACM, (2008)Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition., , и . MCDM, стр. 81-88. IEEE, (2011)Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms., , и . GECCO, стр. 413-418. ACM, (2006)Interpolated continuous optimisation problems with tunable landscape features., , и . GECCO (Companion), стр. 169-170. ACM, (2017)Evolved Bayesian Network models of rig operations in the gulf of Mexico., , , и . IEEE Congress on Evolutionary Computation, стр. 1-7. IEEE, (2010)Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures., , , , , и . SGAI Conf., том 14381 из Lecture Notes in Computer Science, стр. 275-290. Springer, (2023)Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms., , и . SGAI Conf., том 13101 из Lecture Notes in Computer Science, стр. 89-102. Springer, (2021)Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems., , , , и . GECCO, стр. 421-429. ACM, (2021)Influence of selection on structure learning in markov network EDAs: an empirical study., , и . GECCO, стр. 249-256. ACM, (2012)