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Transfer weight functions for injecting problem information in the multi-objective CMA-ES.

, , , and . Memetic Comput., 9 (2): 153-180 (2017)

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Chameleon: a Generic Tool for Genetic Programming, , , and . III Encontro Nacional de Inteligencia Artificial, Fortaleza, CE, Brasil, (2001)I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization., and . SBRN, page 166-171. IEEE Computer Society, (2012)Effective linkage learning using low-order statistics and clustering, and . CoRR, (2007)A Genetic Programming Approach for Software Reliability Modeling., , and . IEEE Trans. Reliab., 59 (1): 222-230 (2010)Meta-learning based selection of software reliability models., , and . Autom. Softw. Eng., 24 (3): 575-602 (2017)Deriving products for variability test of Feature Models with a hyper-heuristic approach., , , and . Appl. Soft Comput., (2016)The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem., and . CEC, page 1-8. IEEE, (2020)Evolving convolutional neural networks through grammatical evolution., and . GECCO (Companion), page 179-180. ACM, (2019)C-Multi: A competent multi-swarm approach for many-objective problems., , and . Neurocomputing, (2016)The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic., and . BRACIS (1), volume 13653 of Lecture Notes in Computer Science, page 45-60. Springer, (2022)