An analysis of parameter adaptation in reactive tabu search
By Franco Mascia, Paola Pellegrini, Mauro Birattari, Thomas Stützle. 2014
11 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michele Battistutta
- Haroldo Gambini Santos
- Greet Vanden Berghe
- Matheus Guedes Vilas Boas
- Andrea Schaerf
- Tommaso Urli
- L. Merschmann
In Computer Networks and Communications
- Greet Vanden Berghe
- Matheus Guedes Vilas Boas
- L. Merschmann
- Michele Battistutta
- Haroldo Gambini Santos
- Andrea Schaerf
- Tommaso Urli
In Industrial and Manufacturing Engineering
- Michele Battistutta
- Haroldo Gambini Santos
- Greet Vanden Berghe
- Matheus Guedes Vilas Boas
- Andrea Schaerf
- Tommaso Urli
- L. Merschmann
Citations in the corpus
- Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches (2019, background): “Another fundamental contextual information is that the ASP is a static tuning technique: no runtime information is considered to dynamically change some of the suggested algorithm/parameter settings, as in the so called reactive methods (Mascia et al., 2014).”
- Feature-based tuning of single-stage simulated annealing for examination timetabling (2015, methodology): “Also Mascia et al [23] implemented a features-based tuning for the definition of the parameters for their Robust Tabu Search for the Quadratic Assignment Problem.”