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Springer Nature Switzerland
Reference12 articles.
1. Beyer, H.G., Schwefel, H.P.: Evolution strategies - a comprehensive introduction. Nat. Comput. 1(1), 3–52 (2002). https://doi.org/10.1023/A:1015059928466
2. Buitinck, L., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning, pp. 108–122 (2013)
3. Bäck, T.: Introduction to evolution strategies. In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. GECCO Comp 2014, pp. 251–280. Association for Computing Machinery (2014). https://doi.org/10.1145/2598394.2605337
4. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002). https://doi.org/10.1109/4235.996017, Conference Name: IEEE Transactions on Evolutionary Computation
5. Gatignon, H.: Chapter 15 Marketing-mix models. In: Handbooks in Operations Research and Management Science, Marketing, vol. 5, pp. 697–732. Elsevier (1993). https://doi.org/10.1016/S0927-0507(05)80038-6