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Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator., , и . GECCO, стр. 840-846. Morgan Kaufmann, (1999)Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed.. GECCO (Companion), стр. 2281-2286. ACM, (2009)Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution., и . ACALCI, том 10142 из Lecture Notes in Computer Science, стр. 314-325. (2017)A hybrid approach to parameter tuning in genetic algorithms., и . Congress on Evolutionary Computation, стр. 1096-1103. IEEE, (2005)Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA., и . Congress on Evolutionary Computation, стр. 1792-1799. IEEE, (2005)Clustering Problems for More Useful Benchmarking of Optimization Algorithms.. SEAL, том 8886 из Lecture Notes in Computer Science, стр. 131-142. Springer, (2014)Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms., и . PPSN, том 3242 из Lecture Notes in Computer Science, стр. 172-181. Springer, (2004)Using regression models for characterizing and comparing black box optimization problems., и . Swarm Evol. Comput., (2022)MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies., , и . GECCO, стр. 2141-2148. ACM, (2005)Length Scale for Characterising Continuous Optimization Problems., и . PPSN (1), том 7491 из Lecture Notes in Computer Science, стр. 407-416. Springer, (2012)