Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems - Sorbonne Université
Journal Articles IEEE Transactions on Evolutionary Computation Year : 2022

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

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Machine Learning [cs.LG] Artificial Intelligence [cs.AI]

Koen van der Blom  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-03927236

Submitted on : Friday, January 6, 2023-2:37:13 PM

Last modification on : Tuesday, December 3, 2024-1:00:08 PM

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hal-03927236 , version 1 (06-01-2023)

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Koen van der Blom, Holger Hoos, Chuan Luo, Jeroen Rook. Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems. IEEE Transactions on Evolutionary Computation, 2022, 26 (6), pp.1351-1364. ⟨10.1109/TEVC.2022.3215013⟩. ⟨hal-03927236⟩

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