Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference (GECCO). Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, HEURÍSTICA
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CHICANO, Francisco et al. Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. 2017, Anais.. Berlin: ACM, 2017. Disponível em: https://doi.org/10.1145/3071178.3071285. Acesso em: 27 nov. 2025.APA
Chicano, F., Ochoa, G., Whitley, D., & Tinós, R. (2017). Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search. In Proceedings. Berlin: ACM. doi:10.1145/3071178.3071285NLM
Chicano F, Ochoa G, Whitley D, Tinós R. Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search [Internet]. Proceedings. 2017 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1145/3071178.3071285Vancouver
Chicano F, Ochoa G, Whitley D, Tinós R. Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search [Internet]. Proceedings. 2017 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1145/3071178.3071285
