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A study of algorithms for solving nonlinear two-level programming problems oriented to decision tree models

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Yang, X., Jing, H., Koenig, K., Xiong, J., & Lei, B. (2018). Multilevel rasch modeling of two-tier multiple choice test: a case study using lawson's classroom test of scientific reasoning. Physical Review Special Topics - Physics Education Research, 14(2). Search in Google Scholar

Tan, X., Guo, C., Sun, P., & Zhang, S. (2022). Performance optimization method of community sports facilities configuration based on linear planning model. Complexity. Search in Google Scholar

Hemmati, Reza, Shafie-Khah, Miadreza, Catalao, & Joao, P. S. (2019). Three-level hybrid energy storage planning under uncertainty. IEEE Transactions on Industrial Electronics. Search in Google Scholar

Ghomanjani, F., Noeiaghdam, S., & Micula, S. (2022). Application of transcendental bernstein polynomials for solving two-dimensional fractional optimal control problems.Complexity. Search in Google Scholar

Gepreel, K. A., & Mahdy, A. (2021). Algebraic computational methods for solving three nonlinear vital models fractional in mathematical physics. Open Physics, 19(1), 152-169. Search in Google Scholar

Kaczmarek, K., Dymova, L., & Sevastjanov, P. (2019). A two phase method for solving the distribution problem in a fuzzy setting. Entropy, 21. Search in Google Scholar

Yang, J., & Li, X. (2022). Data-driven dynamic neural programming for network media nonlinear visual communication design. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Akimova, E. N., Misilov, V. E., & Sultanov, M. A. (2020). Regularized gradient algorithms for solving the nonlinear gravimetry problem for the multilayered medium. Mathematical Methods in the Applied Sciences. Search in Google Scholar

Cai, Y., Xiao, J., He, Y., Guo, H., & Xie, Y. (2022). A bi-level multi-objective programming model for water resources management under compound uncertainties in dongjiang river basin, greater bay area of china.Journal of contaminant hydrology,248, 104020. Search in Google Scholar

Dehghani, M., & Trojovsk, P. (2022). Hybrid leader based optimization: a new stochastic optimization algorithm for solving optimization applications. Scientific Reports, 12(1), 1-16. Search in Google Scholar

Javier, C. B. (2022). Classification of fermi-lat unidentified gamma-ray sources using catboost gradient boosting decision trees. Monthly Notices of the Royal Astronomical Society, (2), 2. Search in Google Scholar

Deholton, K. L. (2021). Low energy event classification in icecube using boosted decision trees. Journal of Instrumentation, 16(12), C12007-. Search in Google Scholar

Sadeghi, H., & Esmaeili, M. (2021). On the quasiconcave multilevel programming problems. Asia-Pacific Journal of Operational Research. Search in Google Scholar

Fu, Z., Wang, W., Han, B., & Chen, Y. (2022). Two-point landweber-type method with convex penalty terms for nonsmooth nonlinear inverse problems. IMA Journal of Numerical Analysis(2), 2. Search in Google Scholar

Alsabhan, M., Soudani, A., & Almusallam, M. (2022). A distributed scheme for energy-efficient event-based target recognition using internet of multimedia things:. International Journal of Distributed Sensor Networks, 18(5), 87-111. Search in Google Scholar

Roy, S., Mondal, S., Ekbal, A., & Desarkar, M. S. (2018). Dispersion ratio based decision tree model for classification. Expert Systems with Applications, 116. Search in Google Scholar

Esteve, M., Rodriguez-Sala, J. J., Lopez-Espin, J. J., & Aparicio, J. (2021). Heuristic and backtracking algorithms for improving the performance of efficiency analysis trees. IEEE Access, PP(99). Search in Google Scholar

Zza, B., & Jian, X. (2022). True temperature inversion for a multi-spectral pyrometer based on the inner penalty function constrained optimization algorithm. Infrared Physics & Technology. Search in Google Scholar

Krishna, R., Sathish, H., & Zhou, N. (2023). Forecasting uncertainty parameters of virtual power plants using decision tree algorithm. Electric Power Components and Systems, 51(16), 1756-1769. Search in Google Scholar

Arigi, A. M., Park, G., & Kim, J. (2021). An approach to analyze diagnosis errors in advanced main control room operations using the cause-based decision tree method.Energies, 14. Search in Google Scholar

MO Varrà, L Husáková, Patoka, J., Ghidini, S., & Zanardi, E. (2021). Classification of transformed anchovy products based on the use of elementpatterns and decision trees to assess traceability and country of origin labelling. Food Chemistry. Search in Google Scholar

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Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics