Hyperparameter Optimization with Genetic Algorithms and XGBoost: A Step Forward in Smart Grid Fraud Detection. [PDF]
Mehdary A +3 more
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Using Genetic Algorithms for Underground Stope Design Optimization in Mining: A Stochastic Analysis
R.L.A. Verhoeff
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Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms. [PDF]
Kaziz S, Echouchene F, Gazzah MH.
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Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms. [PDF]
Bhowmik D +4 more
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Enhanced Optimization of Composite Laminates: Multi-Objective Genetic Algorithms with Improved Ply-Stacking Sequences. [PDF]
Kumpati R, Skarka W, Skarka M, Brojan M.
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Optimisation of Flexible Forming Processes Using Multilayer Perceptron Artificial Neural Networks and Genetic Algorithms: A Generalised Approach for Advanced High-Strength Steels. [PDF]
Sevšek L, Pepelnjak T.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiou, Yu-Chiun, Lan, Lawrence W.
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Nature's algorithms [genetic algorithms]
IEEE Potentials, 2001Combinatorial optimization problems typically require every possible solution to be evaluated to ensure finding the optimal solution. Since such exhaustive searches are often impractical, there is now a vast body of heuristic algorithms for them. Among the algorithms are those based on metaphors borrowed from other areas of science.
J. Carnahan, R. Sinha
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