Results 11 to 20 of about 6,856 (176)
IEEE Access, 2020 Based on the boost full bridge isolated converter (BFBIC) topology and considering the sudden changes in the external environment, a global maximum power point tracking (GMPPT) control strategy based on an improved gray wolf optimizer (IGWO) algorithm is
Ke Guo +4 more
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Scientific ReportsAbstract As a newly proposed optimization algorithm based on the social hierarchy and hunting behavior of gray wolves, grey wolf algorithm (GWO) has gradually become a popular method for solving the optimization problems in various engineering fields.
Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen
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Persian Named Entity Recognition by Gray Wolf Optimization Algorithm
Scientific Programming, 2022 Named entity recognition (NER) is a subfield of natural language processing (NLP). It is able to identify proper nouns, such as person names, locations, and organizations, and has been widely used in various tasks. NER can be practical in extracting information from social media data.
Aynaz Forouzandeh +2 more
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A Modified Grey Wolf Optimizer Based Data Clustering Algorithm
Applied Artificial Intelligence, 2021 Data clustering is an important data analysis and data mining tool in many fields such as pattern recognition and image processing. The goal of data clustering is to optimally organize similar objects into clusters.
Ramin Ahmadi +2 more
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Journal of Engineered Fibers and Fabrics, 2022 Unevenness is one of the important parameters for evaluating yarn quality, but the current prediction accuracy of yarn unevenness is low. One of the important reasons is that there are few sample dataset for yarn unevenness prediction.
Hao Jiang +3 more
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Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution
Applied Sciences, 2023 The Gray Wolf Optimizer (GWO) is an established algorithm for addressing complex optimization tasks. Despite its effectiveness, enhancing its precision and circumventing premature convergence is crucial to extending its scope of application.
Jun Li, Kexue Sun
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Application of Improved Satin Bowerbird Optimizer in Image Segmentation
Frontiers in Plant Science, 2022 Aiming at the problems of low optimization accuracy and slow convergence speed of Satin Bowerbird Optimizer (SBO), an improved Satin Bowerbird Optimizer (ISBO) based on chaotic initialization and Cauchy mutation strategy is proposed.
Linguo Li +4 more
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GWO-based estimation of input-output parameters of thermal power plants [PDF]
, 2020 The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the
Ari Nrartha, I Made +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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Implementation of combined new optimal cuckoo algorithm with a gray wolf algorithm to solve unconstrained optimization nonlinear problems [PDF]
, 2020 In this article, a combined optimization algorithm was proposed which combines the optimal adaptive cuckoo algorithm (OACS) which is Nature-inspired algorithm with gray wolf optimizer algorithm (GWO). Sometimes considering the cuckoo algorithm alone, may
Al-Arabo, Ali Abbas +1 more
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