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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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Geometric Semantic Genetic Programming for Real Life Applications., , , and . GPTP, page 191-209. Springer, (2013)Parameterized Tractability of the Maximum-Duo Preservation String Mapping Problem., , and . CoRR, (2015)A Distance Between Populations for n-Points Crossover in Genetic Algorithms., , , and . CoRR, (2017)Stock index return forecasting: semantics-based genetic programming with local search optimiser., , , and . Int. J. Bio Inspired Comput., 10 (3): 159-171 (2017)Comparing incomplete sequences via longest common subsequence., , , and . Theor. Comput. Sci., (2019)The effect of selection from old populations in genetic algorithms., , and . GECCO (Companion), page 161-162. ACM, (2011)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)Predicting per capita violent crimes in urban areas: an artificial intelligence approach., , , and . J. Ambient Intell. Humaniz. Comput., 8 (1): 29-36 (2017)GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming., , , , and . SoftwareX, (2022)The influence of population size in geometric semantic GP., , , , and . Swarm Evol. Comput., (2017)