irace

The irace Package: Iterated Race for Automatic Algorithm Configuration. The irace package implements the iterated racing procedure, which is an extension of the Iterated F-race procedure. Its main purpose is to automatically configure optimization algorithms by finding the most appropriate settings given a set of instances of an optimization problem. It builds upon the race package by Birattari and it is implemented in R. Keywords: automatic configuration, offline tuning, parameter tuning, racing, F-race. Relevant literature: Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Thomas Stützle, and Mauro Birattari. The irace package, Iterated Race for Automatic Algorithm Configuration. Technical Report TR/IRIDIA/2011-004, IRIDIA, Université libre de Bruxelles, Belgium, 2011.


References in zbMATH (referenced in 143 articles )

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  8. Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Kondapalli: DriveML: An R Package for Driverless Machine Learning (2020) arXiv
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  10. Soares, Leonardo Cabral R.; Carvalho, Marco Antonio M.: Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints (2020)
  11. Soriano, Adria; Vidal, Thibaut; Gansterer, Margaretha; Doerner, Karl: The vehicle routing problem with arrival time diversification on a multigraph (2020)
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  13. van Bulck, David; Goossens, Dries: Handling fairness issues in time-relaxed tournaments with availability constraints (2020)
  14. Wu, Qinghua; Wang, Yang; Glover, Fred: Advanced tabu search algorithms for bipartite Boolean quadratic programs guided by strategic oscillation and path relinking (2020)
  15. Zhou, Qing; Benlic, Una; Wu, Qinghua: A memetic algorithm based on reformulation local search for minimum sum-of-squares clustering in networks (2020)
  16. Zhou, Qing; Benlic, Una; Wu, Qinghua: An opposition-based memetic algorithm for the maximum quasi-clique problem (2020)
  17. dos Santos Dantas, Ana Paula; de Souza, Cid Carvalho; Dias, Zanoni: A GRASP for the convex recoloring problem in graphs (2019)
  18. Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank: Pitfalls and best practices in algorithm configuration (2019)
  19. Elgers, Niels; Dang, Nguyen; De Causmaecker, Patrick: A metaheuristic approach to compute pure Nash equilibria (2019)
  20. Fernandes, Islame F. C.; Maia, Silvia M. D. M.; Goldbarg, Elizabeth F. G.; Goldbarg, Marco C.: A multi-agent transgenetic algorithm for the bi-objective spanning tree problem (2019)