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Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.

, , and . EvoApplications (1), volume 6024 of Lecture Notes in Computer Science, page 422-431. Springer, (2010)

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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)Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions., , and . Memetic Computing, 5 (4): 295-309 (2013)Benchmarking a hybrid DE-RHC algorithm on real world problems., , and . IEEE Congress on Evolutionary Computation, page 1027-1033. IEEE, (2011)Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed., , and . GECCO (Companion), page 1725-1730. ACM, (2010)Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed., , and . GECCO (Companion), page 1649-1656. ACM, (2010)A differential evolution algorithm for the detection of synaptic vesicles., , , , , and . IEEE Congress on Evolutionary Computation, page 1687-1694. IEEE, (2011)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)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)