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Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017.

, , , , and . Computers, 7 (1): 17 (2018)

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Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithm., , and . GECCO (Companion), page 159-160. ACM, (2018)Measuring bloat, overfitting and functional complexity in genetic programming., , and . GECCO, page 877-884. ACM, (2010)Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators., , and . Expert Syst. Appl., 40 (17): 6856-6862 (2013)Top k 2-Clubs in a Network: A Genetic Algorithm., , , , and . ICCS (5), volume 11540 of Lecture Notes in Computer Science, page 656-663. Springer, (2019)The K landscapes: a tunably difficult benchmark for genetic programming., , and . GECCO, page 1467-1474. ACM, (2011)Parameter tuning of evolutionary reactions systems., , and . GECCO, page 727-734. ACM, (2012)Genetic programming needs better benchmarks., , , , , , , , , and 1 other author(s). GECCO, page 791-798. ACM, (2012)The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming., , , , and . CoRR, (2022)Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks., , and . Appl. Soft Comput., (November 2023)GSGP-CUDA - a CUDA framework for Geometric Semantic Genetic Programming., , , , and . CoRR, (2021)