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On the performance of deep learning for numerical optimization: An application to protein structure prediction.

, , , , and . Appl. Soft Comput., (2021)

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Random Forest Assisted Differential Evolution for Multi-server Congested p-median Problem., , , , , and . ICTAI, page 404-409. IEEE, (2023)From Feature Selection to Continuous Optimization., , , and . EA, volume 12052 of Lecture Notes in Computer Science, page 1-12. Springer, (2019)A Novel Population Initialization Method Based on Support Vector Machine., , , , and . SMC, page 751-756. IEEE, (2018)Hybrid differential evolution algorithms for the optimal camera placement problem., , , , and . J. Systems and IT, 20 (4): 446-467 (2018)On the real-world applicability of state-of-the-art algorithms for the optimal camera placement problem., , , and . CoDIT, page 1103-1108. IEEE, (2019)MAC: Many-objective Automatic Algorithm Configuration., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 241-253. Springer, (2019)A comparative study of newly developed metaheuristics for the discrete uncapacitated $p$-median problem., , , , and . CoDIT, page 872-877. IEEE, (2022)Hybrid parameter adaptation strategy for differential evolution to solve real-world problems., , , , and . CEC, page 3030-3036. IEEE, (2019)On the performance of deep learning for numerical optimization: An application to protein structure prediction., , , , and . Appl. Soft Comput., (2021)On the computational cost of the set cover approach for the optimal camera placement problem and possible set-cover-inspired trade-offs for surveillance infrastructure design., , , and . RAIRO Oper. Res., 55 (4): 2069-2091 (2021)