1. Bartz-Beielstein, T., Lasarczyk, C., Preuss, M.: The sequential parameter optimization toolbox. In: Bartz-Beielstein, T., Chiarandini, M., Paquete, L., Preuss, M. (eds.) Experimental Methods for the Analysis of Optimization Algorithms, pp. 337–362. Springer, Heidelberg (2010).
https://doi.org/10.1007/978-3-642-02538-9_14
2. Biedenkapp, A., Lindauer, M., Eggensperger, K., Hutter, F., Fawcett, C., Hoos, H.H.: Efficient parameter importance analysis via ablation with surrogates. In: Singh, S.P., Markovitch, A. (eds.) AAAI Conference on Artificial Intelligence. AAAI Press (2017)
3. Chiarandini, M., Goegebeur, Y.: Mixed models for the analysis of optimization algorithms. Exp. Methods Anal. Optim. Algorithms 1, 225 (2010)
4. Corstjens, J., Caris, A., Depaire, B., Sörensen, K.: A multilevel methodology for analysing metaheuristic algorithms for the VRPTW
5. Dang, N., Pérez Cáceres, L., De Causmaecker, P., Stützle, T.: Configuring irace using surrogate configuration benchmarks. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 243–250. ACM (2017)