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A Study of Some Implications of the No Free Lunch Theorem.

, and . EvoWorkshops, volume 4974 of Lecture Notes in Computer Science, page 633-642. Springer, (2008)

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Theory and Practice for Efficient Genetic Programming. Faculty of Sciences, University of Lausanne, Switzerland, (2004)Negative Slope Coefficient. A Measure to Characterize Genetic Programming, , , and . Proceedings of the 9th European Conference on Genetic Programming, volume 3905 of Lecture Notes in Computer Science, page 178--189. Budapest, Hungary, Springer, (10 - 12 April 2006)A study of search algorithms' optimization speed., , and . J. Comb. Optim., 27 (2): 256-270 (2014)Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms., and . GECCO, page 1335-1342. ACM, (2007)Evolutionary Computation: A Brief Overview., and . Genetic and Evolutionary Computation: Medical Applications, Wiley, (2011)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)Stock index return forecasting: semantics-based genetic programming with local search optimiser., , , and . Int. J. Bio Inspired Comput., 10 (3): 159-171 (2017)Multi-optimization improves genetic programming generalization ability., , and . GECCO, page 1759. ACM, (2007)A Study of Generalization and Fitness Landscapes for Neuroevolution., , and . IEEE Access, (2020)