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Springer Nature Switzerland
Reference24 articles.
1. Cleghorn, C.W., Ochoa, G.: Understanding parameter spaces using local optima networks. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1657–1664 (2021)
2. Garciarena, U., Santana, R., Mendiburu, A.: Analysis of the complexity of the automatic pipeline generation problem. In: IEEE Congress on Evolutionary Computation, pp. 1–8 (2018)
3. Hutter, F., Kotthoff, L., Vanschoren, J. (eds.): Automated Machine Learning: Methods, Systems, Challenges. Springer, Cham (2018). http://automl.org/book
4. Jones, T., Forrest, S., et al.: Fitness distance correlation as a measure of problem difficulty for genetic algorithms. In: ICGA, vol. 95, pp. 184–192 (1995)
5. Lunacek, M., Whitley, D.: The dispersion metric and the CMA evolution strategy. In: Proceedings of the Conference on Genetic and Evolutionary Computation (2006)
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