Results 11 to 20 of about 8,085 (236)
Neural Computing and Applications, 2022 Swarm-based metaheuristic optimization algorithms have demonstrated outstanding performance on a wide range of optimization problems in both science and industry. Despite their merits, a major limitation of such techniques originates from non-automated parameter tuning and lack of systematic stopping criteria that typically leads to inefficient use of ...
Kazem Meidani +3 more
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Advances in Engineering Software, 2014 This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy.
Seyedali Mirjalili +2 more
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Modified grey wolf method for optimization of PM motors [PDF]
ITM Web of Conferences, 2019 The paper presents an algorithm and computer software for the optimization of electromagnetic devices. The mathematical model of the optimization method was presented. The modification of the classical grey wolf algorithm was developed.
Knypiński Łukasz
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Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout
Hangkong gongcheng jinzhan, 2018 Aiming at optimal airspace layout of electronic jamming during air fighter’s penetration operation, the range of radar detection under electronic jamming, route safety interval, and effective jamming time under electronic interference are described.
Wang Qinghao, Yao Dengkai, Zhao Guhao
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Scientific Reports, 2022 Traditional calibration technology has been widely used in measurement and monitoring; however, there are limitations of poor calibration accuracy, which can not meet the accuracy requirements in some scenarios.
Daolei Wang +4 more
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Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery
International Journal of Photoenergy, 2021 The establishment of isolated microgrid is of great significance in solving power supply problems in offshore islands or remote mountainous areas. Aiming at the isolated microgrid containing photovoltaic, photothermal, wind, diesel, and energy storage, a
Guo Zhao +5 more
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Machines, 2022 The flexible job shop scheduling problem (FJSP) is of great importance for realistic manufacturing, and the problem has been proven to be NP-hard (non-deterministic polynomial time) because of its high computational complexity.
Xiaohong Kong +4 more
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IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Performance and evaluation of energy optimization techniques for wireless body area networks
Beni-Suef University Journal of Basic and Applied Sciences, 2020 Background Wireless body area networks are created to retrieve and transmit human health information by using sensors on the human body. Energy efficiency is considered a foremost challenge to increase the lifetime of a network.
Naveen Bilandi +2 more
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Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy
IEEE Access, 2023 This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach.
Haojie Zhang +5 more
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