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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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A Study of Generalization and Fitness Landscapes for Neuroevolution., , and . IEEE Access, (2020)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)Introduction: special issue on parallel and distributed evolutionary algorithms, part I., and . Genet. Program. Evolvable Mach., 10 (4): 339-341 (2009)A new technique for dynamic size populations in genetic programming., , , and . IEEE Congress on Evolutionary Computation, page 486-493. IEEE, (2004)Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers., , , , , and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 656-671. Springer, (2023)A study of parallel and distributed particle swarm optimization methods., , and . BADS@ICAC, page 9-16. ACM, (2010)A Distance Between Populations for n-Points Crossover in Genetic Algorithms., , , and . CoRR, (2017)Evolutionary Computation: A Brief Overview., and . Genetic and Evolutionary Computation: Medical Applications, Wiley, (2011)A study of search algorithms' optimization speed., , and . J. Comb. Optim., 27 (2): 256-270 (2014)