Results 11 to 20 of about 3,055,148 (230)
Discrete Dynamics in Nature and Society, 2020 With the rapid development of intelligent transportation, intelligent algorithms and path planning have become effective methods to relieve traffic pressure.
Shijin Li, Fucai Wang
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Microservice combination optimisation based on improved gray wolf algorithm
Connection Science, 2023 Microservices architecture is a new paradigm for application development. The problem of optimising the performance of microservice architectures from a non-functional perspective is a typical Nondeterministic Polynomial (NP) problem.
Jingjing Hu +5 more
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Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion
IEEE Access, 2023 To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning ...
Xiaoxiao Yang, Yihui Qiu
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The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm. [PDF]
Front Bioeng Biotechnol, 2021 Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters ...
Liu K, Li W, Ye P, Zhang Z, Ji Q, Wu Z.
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization
Scientific ReportsGray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image ...
Idriss Dagal +5 more
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Driver drowsiness detection using Gray Wolf Optimizer based on voice recognition [PDF]
, 2022 Globally, drowsiness detection prevents accidents. Blood biochemicals, brain impulses, etc., can measure tiredness. However, due to user discomfort, these approaches are challenging to implement.
Hassan, A. K. A. +2 more
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Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning
Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2022 Abstract Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence.
Zhiyong Luo +3 more
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[Brief an Adrienne "Jenny" Wolf]
3 S. - (Briefsammlung Hugo Wolf) Matzen, 29. November 18953 S. - (Briefsammlung Hugo Wolf) Matzen, 29.
Wolf, Hugo
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CLUSTERIZATION OF DATA ARRAYS BASED ON THE MODIFIED GRAY WOLF ALGORITHM
Radio Electronics, Computer Science, Control, 2023 Context. The task of clustering arrays of multidimensional data, the main goal of which is to find classes of observations that are homogeneous in the sense of the accepted metric, is an important part of the intelligent data analysis of Data Mining. From a computational point of view, the problem of clustering turns into the problem of finding local ...
A. Yu. Shafronenko +2 more
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Driver drowsiness detection using Gray Wolf Optimizer based on face and eye tracking [PDF]
, 2022 It is critical today to provide safe and collision-free transport. As a result, identifying the driver’s drowsiness before their capacity to drive is jeopardized.
Jasim, S., Abdul Hassan, AK, Turner, S.
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