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Stock index return forecasting: semantics-based genetic programming with local search optimiser.

, , , and . Int. J. Bio Inspired Comput., 10 (3): 159-171 (2017)

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GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming., , , , and . SoftwareX, (2022)Stock index return forecasting: semantics-based genetic programming with local search optimiser., , , and . Int. J. Bio Inspired Comput., 10 (3): 159-171 (2017)The effect of selection from old populations in genetic algorithms., , and . GECCO (Companion), page 161-162. ACM, (2011)Comparing incomplete sequences via longest common subsequence., , , and . Theor. Comput. Sci., (2019)A Distance Between Populations for n-Points Crossover in Genetic Algorithms., , , and . CoRR, (2017)Parameterized Tractability of the Maximum-Duo Preservation String Mapping Problem., , and . CoRR, (2015)Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images., , and . J. Imaging, 6 (9): 92 (2020)Predicting Days on Market to Optimize Real Estate Sales Strategy., , , and . Complex., (2020)Combining Geometric Semantic GP with Gradient-Descent Optimization., , , and . EuroGP, volume 13223 of Lecture Notes in Computer Science, page 19-33. Springer, (2022)A Method to Reuse Old Populations in Genetic Algorithms., , and . EPIA, volume 7026 of Lecture Notes in Computer Science, page 138-152. Springer, (2011)