Results 21 to 30 of about 410 (152)
IEEE Access, 2021 In the urban rail transit (URT) environment, the radio wave propagation prediction model and communication system planning are very important. However, due to the complexity of the tunnel propagation environment, the current prediction model can not ...
Yunshui Zheng, Rui Yan, Yang Liu
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Sensors, 2023 Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the
Na Lu, Bo Wang, Xianglin Zhu
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Improvement of the Seagull Optimization Algorithm and Its Application in Path Planning
Journal of Physics: Conference Series, 2022 Abstract Seagull Optimization Algorithm (SOA) is an emerging intelligent optimization algorithm proposed in recent years. This paper proposes an improvement in the SOA based on Levy flight(LSOA), which aims to solve the problems of decreasing exploration ability and easing to fall into local extreme values in the late stage of SOA.
Jing Chen, Xin Chen, Zaifei Fu
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Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model
IEEE Access, 2021 Existing methods in predicting short-term photovoltaic (PV) power have low accuracy and cannot satisfy actual demand. Thus, a prediction model based on similar days and seagull optimization algorithm (SOA) is proposed to optimize a deep belief network ...
Wei Hu +3 more
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Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm
Sensors, 2022 To address the problems of uneven distribution and low coverage of wireless sensor network (WSN) nodes in random deployment, a node coverage optimization strategy with an improved COOT bird algorithm (COOTCLCO) is proposed.
Yihui Huang +6 more
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3D Path Planning of UAV Based on Adaptive Slime Mould Algorithm Optimization
Shanghai Jiaotong Daxue xuebao, 2023 Aimed at the problems of insufficient search range and optimization performance in 3D path planning of unmanned aerial vehicles (UAVs), and the lack of optimization accuracy of the existing slime mould algorithm (SMA), which is easy to fall into local ...
HUANG He, GAO Yongbo, RU Feng, YANG Lan, WANG Huifeng
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Journal of Marine Science and Engineering, 2022 Automated guided vehicles (AGVs) in the U-shaped automated container terminal travel longer and more complex paths. The conflicts among AGVs are trickier.
Bowei Xu +5 more
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Prediction of line heating deformation on sheet metal based on an ISSA–ELM model
Scientific Reports, 2023 A prediction method based on an improved salp swarm algorithm (ISSA) and extreme learning machine (ELM) was proposed to improve line heating and forming.
Lei Li +3 more
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Graph-based robot optimal path planning with bio-inspired algorithms
Biomimetic Intelligence and Robotics, 2023 Recently, bio-inspired algorithms have been increasingly explored for autonomous robot path planning on grid-based maps. However, these approaches endure performance degradation as problem complexity increases, often resulting in lengthy search times to ...
Tingjun Lei +4 more
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Shared seagull optimization algorithm with mutation operators for global optimization
AIP Advances, 2021 Seagull optimization algorithm (SOA) has the disadvantages of low convergence accuracy, weak population diversity, and tendency to fall into local optimum, especially for high dimensional and multimodal problems. To overcome these shortcomings, initially,
Bing Ma +4 more
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