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Multi-objective Regression Test Suite Minimisation for Mockito.

, , and . SSBSE, volume 9962 of Lecture Notes in Computer Science, page 244-249. (2016)

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Recurrent Cartesian Genetic Programming Applied to Series Forecasting., and . GECCO (Companion), page 1499-1500. ACM, (2015)The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks., and . SGAI Conf., page 213-226. Springer, (2013)Neutral genetic drift: an investigation using Cartesian Genetic Programming., and . Genet. Program. Evolvable Mach., 16 (4): 531-558 (2015)Approximability and Generalisation., and . CoRR, (2022)NeuroEvolution: Evolving Heterogeneous Artificial Neural Networks., and . Evol. Intell., 7 (3): 135-154 (2014)Introducing a cross platform open source Cartesian Genetic Programming library., and . Genet. Program. Evolvable Mach., 16 (1): 83-91 (2015)Cartesian Genetic Programming: Why No Bloat?, and . EuroGP, volume 8599 of Lecture Notes in Computer Science, page 222-233. Springer, (2014)Recurrent Cartesian Genetic Programming of Artificial Neural Networks., and . Genet. Program. Evolvable Mach., 18 (2): 185-212 (2017)Conceptual modeling and validation of a HA/DR scenario using a weighted system decomposition model., and . WSC, page 2487-2498. IEEE/ACM, (2015)Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease., , , , , and . GECCO (Companion), page 1321-1328. ACM, (2014)