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Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions.

, , and . Memetic Computing, 5 (4): 295-309 (2013)

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Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms., , , , and . Innovations in Hybrid Intelligent Systems, volume 44 of Advances in Soft Computing, Springer, (2008)Benchmarking a hybrid DE-RHC algorithm on real world problems., , and . IEEE Congress on Evolutionary Computation, page 1027-1033. IEEE, (2011)Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions., , and . Memetic Computing, 5 (4): 295-309 (2013)A new methodology for the automatic creation of adaptive hybrid algorithms., , and . Intell. Data Anal., 16 (1): 3-23 (2012)Hybrid evolutionary algorithms for large scale continuous problems., , , and . GECCO, page 1863-1864. ACM, (2009)Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms., , , , and . Innovations in Hybrid Intelligent Systems, volume 44 of Advances in Soft Computing, Springer, (2008)Learning hybridization strategies in evolutionary algorithms., , , and . Intell. Data Anal., 14 (3): 333-354 (2010)A new initialization procedure for the distributed estimation of distribution algorithms., , , and . Soft Comput., 15 (4): 713-720 (2010)A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test., , and . Soft Comput., 15 (11): 2187-2199 (2011)Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions., , and . EvoApplications (1), volume 6024 of Lecture Notes in Computer Science, page 422-431. Springer, (2010)