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Load forecasting with the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model.

, , and . Int. J. Comput. Syst. Signals, 3 (2): 118-132 (2002)

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Evolvability and reconfigurability., , , and . FPT, page 105-112. IEEE, (2004)Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother., , and . CoRR, (2018)Solving stochastic differential equations through genetic programming and automatic differentiation., , , and . Eng. Appl. Artif. Intell., (2018)An Investigation of Pre-trained Embeddings in Dependency Parsing., , , and . PROPOR, volume 12037 of Lecture Notes in Computer Science, page 281-290. Springer, (2020)Load forecasting with the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model., , and . Int. J. Comput. Syst. Signals, 3 (2): 118-132 (2002)Mobile Robot Path Planning Using Genetic Algorithms., , and . IWANN (1), volume 1606 of Lecture Notes in Computer Science, page 671-679. Springer, (1999)Quantum-Inspired Genetic Programming Algorithm for the Crude Oil Scheduling of a Real-World Refinery., , , , , and . IEEE Syst. J., 14 (3): 3926-3937 (2020)Evolving CUDA PTX programs by quantum inspired linear genetic programming., , , , and . GECCO (Companion), page 399-406. ACM, (2011)Data Mining Techniques on the Evaluation of Wireless Churn., , , and . ESANN, page 483-488. (2004)Quantum-Inspired Evolutionary Algorithm for Numerical Optimization., , and . IEEE Congress on Evolutionary Computation, page 2630-2637. IEEE, (2006)