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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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A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude., , , , and . EA, volume 14091 of Lecture Notes in Computer Science, page 187-200. Springer, (2022)A comparative study of meta-heuristic algorithms for solving UAV path planning., , , and . SSCI, page 174-181. IEEE, (2018)Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem., , , , , and . CEC, page 1-8. IEEE, (2020)On the performance of deep learning for numerical optimization: An application to protein structure prediction., , , , and . Appl. Soft Comput., (2021)A Hybrid Evolutionary Algorithm for Offline UAV Path Planning., , , and . EA, volume 12052 of Lecture Notes in Computer Science, page 205-218. Springer, (2019)On the performance of deep learning for numerical optimization: an application to protein structure prediction., , , , and . CoRR, (2020)An Improved TLBO Algorithm for Solving UAV Path Planning Problem., , , and . SSCI, page 2261-2268. IEEE, (2019)An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments., , , , , and . ICTAI, page 106-111. IEEE, (2020)UAV path planning in the presence of static and dynamic obstacles., , , and . SSCI, page 465-472. IEEE, (2020)