Addressing the Algorithm Selection Problem through an Attention-Based Meta-Learner Approach

In the algorithm selection problem, where the task is to identify the most suitable solving technique for a particular situation, most methods used as performance mapping mechanisms have been relatively simple models such as logistic regression or neural networks. In the latter case, most implementa...

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Vydáno v:	Applied sciences Ročník 13; číslo 7; s. 4601
Hlavní autoři:	Díaz de León-Hicks, Enrique, Conant-Pablos, Santiago Enrique, Ortiz-Bayliss, José Carlos, Terashima-Marín, Hugo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.04.2023
Témata:	Algorithms Analysis attention mechanism combinatorial optimization Heuristic Machine learning meta-learning neural network Neural networks offline algorithm selection Optimization Traveling salesman problem vehicle routing problem with time windows
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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