A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA - researchr publication authors

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Anton Bouter, Peter A. N. Bosman. A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. In Sara Silva, Luís Paquete, editors, Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023. pages 1864-1872, ACM, 2023. [doi]

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