• 2022

    Forschungsartikel (Zeitschrift)

    Gomes, P. d. L. M., de Andrade, A. N. H., Ludermir, &. T., Kuchen, H., & Buarque, d. L. N. F. (2022). Towards a Parameterless Out-of-the-box Population Size Control for — Evolutionary and Swarm-based Algorithms for Single Objective Bound — Constrained Real-Parameter Numerical Optimization. Applied Soft Computing Journal, Elsevier, 2022. (accepted / in press (not yet published))
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    Übersichtsartikel (Zeitschrift)

    Menezes, B., Kuchen, H., & Buarque, d. L. N. F. (2022). Parallelization of Swarm Intelligence Algorithms.
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  • 2021

    Forschungsartikel (Buchbeitrag)

    de Lacerda, M. G., de Araujo Pessoa, L. F., Buarque, d. L. N. F., Ludermir, T. B., & Kuchen, H. (2021). A Systematic Literature Review on General Parameter Control for Evolutionary and Swarm-based Algorithms. In Das, S., Suganthan, P. N., & Ali, M. (Eds.), Swarm and Evolutionary Computation (p. 100777).
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    Forschungsartikel (Zeitschrift)

    Menezes, B., Herrmann, N., Kuchen, H., & Neto, F. B. d. L. (2021). High-Level Parallel Ant Colony Optimization with Algorithmic Skeletons. International Journal of Parallel Programming, 49, 776–801.
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  • 2020

    Forschungsartikel in Sammelband (Konferenz)

    Menezes, B., de Araujo Pessoa, L. F., Kuchen, H., & Buarque, d. L. N. F. (2020). Parallelization Strategies for GPU- Based Ant Colony Optimization Applied to TSP. In Ian, F., Gerhard, R. J., Luděk, K., Wolfgang, E. N., & Frans, P. (Eds.), Parallel Computing: Technology Trends (pp. 321–330). IOS Press.
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    Menezes, B., Herrmann, N., Kuchen, H., & Neto, F. d. L. (2020). High-Level Parallel Ant Colony Optimization with Algorithmic Skeletons. In Proceedings of the 13th International Symposium on High-Level Parallel Programming and Applications (HLPP 2020), Porto, Portugal, 776–801.
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    Pessoa, L. F., Hellingrath, B., & Buarque, F. (2020). Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing. In Proceedings of the IEEE Congress on Evolutionary Computation CEC'20, Edinburgh, Scotland.
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    Pessoa, L. F., Hellingrath, B., & Buarque, F. (2020). On the Sensitivity Analysis of Cartesian Genetic Programming Hyper-Heuristic. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Cancún, Mexico, 1880–1888.
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  • 2019

    Forschungsartikel in Sammelband (Konferenz)

    Lacerda, M., Buarque, d. L. N. F., Amorim, N. H., Kuchen, H., & Ludermir, T. (2019). On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms. In Proceedings of the 6th IEEE Latin American Conference on Computational Intelligence (LA-CCI '19), Guayaquil, Ecuador. (accepted / in press (not yet published))
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  • 2018

    Forschungsartikel in Sammelband (Konferenz)

    Menezes, B., Wrede, F., Kuchen, H., & Buarque, F. (2018). Parameter Selection for Swarm Intelligence Algorithms: Case Study on Parallel Implementation of FSS. In Proceedings of the 4th IEEE Latin American Conference on Computational Intelligence (LA-CCI '17), Arequipa, Peru.
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    Wrede, F., Menezes, B., Pessoa, L. F., Hellingrath, B., Buarque, F., & Kuchen, H. (2018). High-level Parallel Implementation of Swarm Intelligence-based Optimization Algorithms with Algorithmic Skeletons. In Bassini, S., Danelutto, M., Dazzi, P., Joubert, G. R., & Peters, F. (Eds.), Parallel Computing is Everywhere (pp. 573–582). Advances In Parallel Computing: Vol. 32. Amsterdam, Berlin, Washington DC: IOS Press.
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  • 2013

    Forschungsartikel in Sammelband (Konferenz)

    de Araújo, P. L. F., Horstkemper, D., de Siqueira, D., Hellingrath, B., Gomes, P. d. L. M., & Buarque, d. L. N. F. (2013). Comparison of Optimization Techniques for Complex Supply Chain Network Planning Problems. In Proceedings of the XXVII Congresso Nacional de Pesquisa e Ensino em Transporte, Belém, Brasilien.
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    Hellingrath, B., Buarque, F., Horstkemper, D., Siqueira, D., Pessoa, L., & Lacerda, M. (2013). Application of the Fish School Search for the Supply Chain Network Planning Problem. In Proceedings of the Congresso Brasileiro de Inteligência Computacional 2013, Porto de Galinhas, Brasilien.
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