Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization [PDF]
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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Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm [PDF]
Biomimetics, 2022 The Gray Wolf (GWO) algorithm aims to address the path planning problem of multiple UAVs, and the scene setting is mainly to avoid threats, meet the constraints of UAVs themselves and avoid obstacles between UAVs.
Changchun Zhang, Yifan Liu, Chunhe Hu
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Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm [PDF]
Scientific ReportsHigh precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
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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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Application research of γ energy spectrum analysis based on improved grey wolf algorithm
He jishu, 2021 BackgroundTraditional γ energy spectrum analysis methods have the disadvantages of long time, many steps and low accuracy.PurposeThis study aims to propose an improved gray wolf algorithm based on qualitative analysis to obtain nuclide information faster
LIU Wei +4 more
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Comparison of the efficiency of gray wolf optimizer and imperialist competitive algorithms in an optimal allocation of water in irrigation and drainage networks (case study: Sofi-Chay network) [PDF]
علوم محیطی, 2020 Introduction: Water scarcity is one of the most important issues in the 21st century that human societies encounter. Population growth, industrial and agricultural production, rapid urbanization, and severe climate change have had a major impact on ...
Farhad Misaghi +2 more
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Application of Gray Wolf Optimization Algorithm on Synchronous Processing of Sample Equalization and Feature Selection in Credit Evaluation [PDF]
Jisuanji kexue, 2022 With the rapid development of Internet finance industry, traditional credit risk evaluation is facing challenges in the face of massive data.Due to the unbalanced sample categories and high feature redundancy in credit evaluation, it has become the key ...
CHU An-qi, DING Zhi-jun
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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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Using composite ranking to select the most appropriate Multi-Criteria Decision Making (MCDM) method in the optimal operation of the Dam reservoir [PDF]
Journal of Hydraulic Structures, 2020 In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs.
Alireza Donyaii +2 more
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