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Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator

, , and . Proceedings of the Genetic and Evolutionary Computation Conference, 1, page 840--846. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)

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Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed.. GECCO (Companion), page 2281-2286. ACM, (2009)Quantitative measure of nonconvexity for black-box continuous functions., and . Inf. Sci., (2019)Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift., and . Evol. Comput., 13 (1): 29-42 (2005)Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator., , and . GECCO, page 840-846. Morgan Kaufmann, (1999)Length Scale for Characterising Continuous Optimization Problems., and . PPSN (1), volume 7491 of Lecture Notes in Computer Science, page 407-416. Springer, (2012)Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements., and . IEEE Trans. Evol. Comput., 18 (3): 456-461 (2014)Detecting contaminated birthdates using generalized additive models., , , , , and . BMC Bioinform., (2014)Approximate discounting-free policy evaluation from transient and recurrent states., and . CoRR, (2022)Guest Editorial: Special Issue on Evolutionary Computation for Games., , , , and . IEEE Trans. Games, 15 (1): 1-4 (March 2023)Using regression models for characterizing and comparing black box optimization problems., and . Swarm Evol. Comput., (2022)