Metaheuristic Clustering Algorithm
In this thesis we describe an essential problem in data clustering and present some solutions for it. We investigate using distance measures other than Euclidean type for improving the performance of clustering. We also develop a new point symmetry-based distance measure and prove its efficiency.
openaire
Identifying candidate biomarkers for detecting bronchogenic carcinoma stages using metaheuristic algorithms based on information fusion theory. [PDF]
Khalvati B +3 more
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Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms. [PDF]
Kim D +3 more
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Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility. [PDF]
Ajin RS, Segoni S, Fanti R.
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Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms. [PDF]
Alblehai F.
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Analyzing the performance of metaheuristic algorithms in speed control of brushless DC motor: Implementation and statistical comparison. [PDF]
Shafique F +3 more
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Estimating Ross 308 Broiler Chicken Weight Through Integration of Random Forest Model and Metaheuristic Algorithms. [PDF]
Küçüktopçu E +2 more
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Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction. [PDF]
Van Thieu N +5 more
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Considering radial basis function neural network for effective solution generation in metaheuristic algorithms. [PDF]
Cuevas E +3 more
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Applications of nature-inspired metaheuristic algorithms for tackling optimization problems across disciplines. [PDF]
Cui EH, Zhang Z, Chen CJ, Wong WK.
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