Hybridizing rule-based power system stabilizers with geneticalgorithms حسب Abido, M.A.

"…The proposed approach uses genetic algorithms (GA) to search for optimal settings of rule-based power system stabilizer (RBPSS) parameters. …"
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Parameterization and compensation of friction forces using geneticalgorithms حسب Al-Duwaish, H.N.

"…A PI controller with parameters optimized using genetic algorithms is used to control the position of a DC motor with friction. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

"…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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Improving the Resilience of Smart Distribution Networks against Cyber Attacks حسب ElYamani, Mohamed ElHusseiny Mohamed

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Tuning of a fuzzy logic power system stabilizer using geneticalgorithms حسب Abido, M.A.

"…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …"
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AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients حسب Azar, Danielle

"…In this paper, we propose and compare three techniques two of which are Artificial Intelligence techniques, namely C4.5 and Case-Based Reasoning, and the third one is a meta-heuristic namely genetic algorithms. The performance of the three algorithms is evaluated on a data set found in the public UCMI repository.…"
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Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…We combine this model with genetic algorithms to optimize its parameters and return the best state transition probabilities, and we predict future malware accordingly. …"
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Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. The problem is solved using genetic algorithms that search within the feasible solution space. …"
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