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Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.

, , , , , and . GECCO (Companion), page 1553-1558. ACM, (2017)

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Optimization Networks for Integrated Machine Learning., , , , , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 392-399. Springer, (2017)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression., , , , , and . GPTP, page 1-17. Springer, (2016)Schema-based diversification in genetic programming., and . GECCO, page 1111-1118. ACM, (2018)Multiobjective design of evolutionary hybrid neural networks., and . ICAC, page 195-200. IEEE, (2011)Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants., , , , , and . GECCO (Companion), page 1553-1558. ACM, (2017)Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals., , , , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 424-431. Springer, (2017)On the Evolutionary Behavior of Genetic Programming with Constants Optimization., , and . EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 284-291. Springer, (2013)Sliding Window Symbolic Regression for Detecting Changes of System Dynamics., , , , , and . GPTP, page 91-107. Springer, (2014)Genetic programming with data migration for symbolic regression., , , , and . GECCO (Companion), page 1361-1366. ACM, (2014)Visualization of genetic lineages and inheritance information in genetic programming., , , , and . GECCO (Companion), page 1351-1358. ACM, (2013)