A Binary Machine Learning Cuckoo Search Algorithm Improved by a Local Search Operator for the Set-Union Knapsack Problem

A Binary Machine Learning Cuckoo Search Algorithm Improved by a Local Search Operator for the Set-Union Knapsack Problem

Optimization techniques, specially metaheuristics, are constantly refined in order to decrease execution times, increase the quality of solutions, and address larger target cases. Hybridizing techniques are one of these strategies that are particularly noteworthy due to the breadth of applications....

Täydet tiedot

Bibliografiset tiedot
Päätekijät: José García, José Lemus-Romani, Francisco Altimiras, Broderick Crawford, Ricardo Soto, Marcelo Becerra-Rozas, Paola Moraga, Alex Paz Becerra, Alvaro Peña Fritz, Jose-Miguel Rubio, Gino Astorga
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-10-01
Sarja:Mathematics
Aiheet:
combinatorial optimization
machine learning
metaheuristics
set-union knapsack
Linkit:https://www.mdpi.com/2227-7390/9/20/2611

Internet

https://www.mdpi.com/2227-7390/9/20/2611

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