Results 31 to 40 of about 38,897 (297)
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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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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Journal of King Saud University: Computer and Information Sciences, 2021 In recent history, Convolutional Neural Networks have attained breakthroughs in addressing many intractable problems in the domain of image processing. But its performance builds upon its chosen hyper parameters and it is a tedious job to manually fine ...
Rasmiranjan Mohakud, Rajashree Dash
semanticscholar +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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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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Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density [PDF]
Journal of Renewable Energy and EnvironmentOptimization problems can be classified as discrete or continuous, depending on the nature of the decision variables. Using continuous algorithms for problems that are inher-ently discrete can pose challenges in achieving optimal efficiency.
Hamed Kargaran +3 more
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A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Sensors, 2020 Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems ...
Zhihang Yue, Sen Zhang, Wendong Xiao
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Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight
IEEE Access, 2023 The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains.
Weiming Lin
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Photovoltaic power prediction based on improved grey wolf algorithm optimized back propagation [PDF]
Archives of Electrical Engineering, 2023 At present, the back-propagation (BP) network algorithm widely used in the short-term output prediction of photovoltaic power stations has the disadvantage of ignoring meteorological factors and weather conditions in the input.
Ping He +4 more
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A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
Algorithms, 2015 Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization.
Qifang Luo +3 more
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