Results 31 to 40 of about 5,692 (245)
Task scheduling in the cloud is a difficult optimization challenge. The cloud system is assigned with a specific load based on the cloud architecture and user demands.
Mohammad Haris, Swaleha Zubair
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TDOA Localization Based on Improved Harris Hawk Optimization Algorithm [PDF]
To solve the nonlinear equation problem of indoor Time Difference of Arrival(TDOA) localization,this paper proposes a localization algorithm based on improved Harris Hawk Optimization(HHO),maintaining the optimization mechanism while enhancing the ...
MA Yiming, SHI Zhidong, ZHAO Kang, GONG Changlei, SHAN Lianhai
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Harris Hawks optimization (HHO) is a swarm optimization approach capable of handling a broad range of optimization problems. HHO, on the other hand, is commonly plagued by inadequate exploitation and a sluggish rate of convergence for certain numerical ...
Mingjing Wang +5 more
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Cost management of microgrids represents a real challenge since the power generation of microgrids is usually composed of different renewable and non-renewable sources.
Mahmoud Abdelsalam +2 more
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An effective approach to enhance the balancing control in bycycorobot using the soft computing techniques [PDF]
The balancing and control of bycycorobot is a challenging task. The pre-specified controller available in the literature for balancing has been reduced with novel optimization to improve the effectiveness of balancing, uncertainty, and the complexity of ...
Sambariya, Dhanesh Kumar +1 more
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The development of EV technology and EV migration is limited by various factors such as sizing of batteries, short driving ranges, optimal operations, and so on.
V. Manoj Kumar +2 more
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An improved hybrid Aquila Optimizer and Harris Hawks Optimization for global optimization
<abstract> <p>This paper introduces an improved hybrid Aquila Optimizer (AO) and Harris Hawks Optimization (HHO) algorithm, namely IHAOHHO, to enhance the searching performance for global optimization problems. In the IHAOHHO, valuable exploration and exploitation capabilities of AO and HHO are retained firstly, and then representative ...
Shuang Wang +3 more
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Harris’ Hawks Optimization-Tuned Density-based Clustering
Clustering is a machine learning technique that groups data samples based on similarity and identifies outliers with distinct features. Density-based clustering outperforms other methods because it can handle arbitrary shapes of clustering distributions.
Kashif Talpur +5 more
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Turmeric and black pepper spices decrease lipid peroxidation in meat patties during cooking. [PDF]
Spices are rich in natural antioxidants and have been shown to be potent inhibitors of lipid peroxidation during cooking of meat. Turmeric contains unique conjugated curcuminoids with strong antioxidant activity. Piperine, one of the main constituents of
Heber, David +6 more
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The accurate detection of wind power outliers plays a crucial role in wind power forecasting, while the inherited strong randomness and high fluctuations bring great challenges to this issue.
Jingtao Huang, Jin Qin, Shuzhong Song
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