Results 11 to 20 of about 11,497,181 (207)
Algorithms, 2023 K-Means is a “de facto” standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution.
Libero Nigro, Franco Cicirelli
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Mathematics, 2021 This paper introduces a robust model predictive controller (MPC) to operate an automatic voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the AVR parameters.
Mahmoud Elsisi +5 more
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A Genetic Algorithm Based Optimized Convolutional Neural Network for Face Recognition
International Journal of Applied Mathematics and Computer Science, 2023 Face recognition (FR) is one of the most active research areas in the field of computer vision. Convolutional neural networks (CNNs) have been extensively used in this field due to their good efficiency.
Karlupia Namrata +3 more
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Performance Optimization for a Class of Petri Nets
Sensors, 2023 Petri nets (PNs) are widely used to model flexible manufacturing systems (FMSs). This paper deals with the performance optimization of FMSs modeled by Petri nets that aim to maximize the system’s performance under a given budget by optimizing both ...
Weijie Shi +4 more
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Bound the Parameters of Neural Networks Using Particle Swarm Optimization
Computers, 2023 Artificial neural networks are machine learning models widely used in many sciences as well as in practical applications. The basic element of these models is a vector of parameters; the values of these parameters should be estimated using some ...
Ioannis G. Tsoulos +3 more
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Constructing Features for Screening Neurodevelopmental Disorders Using Grammatical Evolution
Applied Sciences, 2023 Developmental domains refer to different areas of a child’s growth and maturation, including physical, language, cognitive, and social–emotional skills. Understanding these domains helps parents, caregivers, and professionals track a child’s progress and
Eugenia I. Toki +3 more
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A Survey on Evolutionary Constrained Multiobjective Optimization
IEEE Transactions on Evolutionary Computation, 2023 Handling constrained multiobjective optimization problems (CMOPs) is extremely challenging, since multiple conflicting objectives subject to various constraints require to be simultaneously optimized.
Jing J. Liang +7 more
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Evolutionary Optimization Techniques in Analog Integrated Circuit Designs
Mendel, 2023 The proposed genetic algorithm (GA) and particle swarm optimization (PSO) applied for the optimal design of a one-stage operational amplifier circuit with a current mirror load are studied in this work.
Trang Hoang +3 more
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Improving the Gridshells’ Regularity by Using Evolutionary Techniques
Mathematics, 2021 Designing and optimizing gridshell structures have been very attractive problems in the last decades. In this work, two indexes are introduced as “length ratio” and “shape ratio” to measure the regularity of a gridshell and are compared to the existing ...
Marjan Goodarzi +2 more
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Parasite, 2020 The ultrastructure of the mature spermatozoa of Tergestia clonacantha and T. laticollis collected from the digestive tracts of fishes from New Caledonia is described using transmission electron microscopy and compared to that of related species.
Ndiaye Papa Ibnou +5 more
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