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@DIGNEA

DIGNEA

Hi 👋, this is DIGNEA

Diverse Instance Generator with Novelty Search and Evolutionary Algorithms


  • 🔭 We are currently working on other optimisation domains
  • 📫 Connect with us at: dignea@ull.edu.es

DIGNEA is developed in cplusplus

Publications involving DIGNEA

  • Alejandro Marrero, Eduardo Segredo, and Coromoto Leon. 2021. A parallel genetic algorithm to speed up the resolution of the algorithm selection problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, New York, NY, USA, 1978–1981. DOI:https://doi.org/10.1145/3449726.3463160

  • Marrero, A., Segredo, E., León, C., Hart, E. (2022). A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. In: Rudolph, G., Kononova, A.V., Aguirre, H., Kerschke, P., Ochoa, G., Tušar, T. (eds) Parallel Problem Solving from Nature – PPSN XVII. PPSN 2022. Lecture Notes in Computer Science, vol 13398. Springer, Cham. https://doi.org/10.1007/978-3-031-14714-2_16

  • Marrero, A., Segredo, E., León, C., & Hart, E. (2023). DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains. SoftwareX, 22, 101355. https://doi.org/10.1016/j.softx.2023.101355

Popular repositories

  1. dignea dignea Public

    Diverse Instance Generator with Novelty and EAs

    C++ 1 1

  2. DIGNEApy DIGNEApy Public

    Diverse Instance Generator with Novelty and EAs

    Python 1

  3. build_dignea_action build_dignea_action Public

  4. dignea.github.io dignea.github.io Public

    HTML

  5. .github .github Public

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