Analyzing bandit-based adaptive operator selection mechanisms

Author:

Fialho Álvaro,Da Costa Luis,Schoenauer Marc,Sebag Michèle

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence

Reference45 articles.

1. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multi-armed bandit problem. Mach. Learn. 47(2–3), 235–256 (2002)

2. Barbosa, H.J.C., Sá, A.M.: On adaptive operator probabilities in real coded genetic algorithms. In: XX Intl. Conference of the Chilean Computer Science Society (2000)

3. Bartz-Beielstein, T., Lasarczyk, C., Preuss, M.: Sequential parameter optimization. In: McKay, B. (ed.) Proc. Congress on Evolutionary Computation, pp. 773–780. IEEE (2005)

4. Birattari, M., Stützle, T., Paquete, L., Varrentrapp, K.: A racing algorithm for configuring metaheuristics. In: Langdon, W.B., et al. (eds.) Proc. Genetic and Evolutionary Computation Conference, pp. 11–18. Morgan Kaufmann (2002)

5. Collet, P., Schoenauer, M.: GUIDE: unifying evolutionary engines through a graphical user interface. In: Liardet, P., et al. (eds.) Proc. Intl. Conference on Artificial Evolution. LNCS, vol. 2936, pp. 203–215. Springer (2003)

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