Search Results - "swarm intelligence optimization algorithm"

Three-learning strategy particle swarm algorithm for global optimization problems by Zhang, Xinming, Lin, Qiuying

“…[Display omitted] •A med-point-example learning strategy is proposed to get stronger exploitation.•A random learning strategy is introduced to obtain stronger…”
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Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping by Bui, Quang-Thanh, Nguyen, Quoc-Huy, Nguyen, Xuan Linh, Pham, Vu Dong, Nguyen, Huu Duy, Pham, Van-Manh

“…•Examination of hybrid models that combine several swarm intelligenceoptimizers with deep learning neural network.•Comparison of performance of proposed models…”
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Guided learning strategy: A novel update mechanism for metaheuristic algorithms design and improvement by Jia, Heming, Lu, Chenghao

“…Meta-heuristic algorithms (MH) are naturally inspired global optimization algorithms. They are often relatively simple and can solve problems in a short period…”
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An online chatter detection and recognition method for camshaft non-circular contour high-speed grinding based on improved LMD and GAPSO-ABC-SVM by Zhuo, Rongjin, Deng, Zhaohui, Li, Yiwen, Liu, Tao, Ge, Jimin, Lv, Lishu, Liu, Wei

“…[Display omitted] •The local mean decomposition (LMD) algorithm is improved by the mirror extension method, moving average algorithm, and adaptive soft…”
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Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system by Zhao, Xuejing, Wang, Chen, Su, Jinxia, Wang, Jianzhou

“…Wind energy is an increasing concern for wind farm administrators. Effective wind energy potential analysis and accurate forecasting can reduce the operating…”
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Tourism combination forecasting with swarm intelligence by Li, Hengyun, Guo, Honggang, Wang, Jianzhou, Wang, Yong, Wu, Chunying

“…Combination forecasting is an effective method for improving the accuracy of tourism demand. This study proposes an innovative combination strategy based on a…”
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Analysis of the influence of population distribution characteristics on swarm intelligence optimization algorithms by Hu, Rongxin, Bao, Liyong, Ding, Hongwei, Zhou, Dongmin, Kong, Yan

“…The distribution characteristic of populations is one of the main characteristics of population. The pattern of distribution characteristics determines the…”
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Dynamic Gaussian mutation beetle swarm optimization method for large-scale weapon target assignment problems by Xu, Han, Zhang, An, Bi, Wenhao, Xu, Shuangfei

“…The weapon target assignment is a crucial issue for firepower resources optimization in modern warfare. Such a problem is complicated, multi-constrained,…”
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Analysis of photovoltaic array maximum power point tracking under uniform environment and partial shading condition: A review by Li, Jianlin, Wu, Yiwen, Ma, Suliang, Chen, Mingxuan, Zhang, Baoping, Jiang, Bing

“…With the expansion of the scale of application of photovoltaic (PV) power generation, PV maximum power point tracking (MPPT) technology has been transformed…”
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A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems by Wang, Shuxin, Yue, Yinggao, Cai, Shaotang, Li, Xiaojuan, Chen, Changzu, Zhao, Hongliang, Li, Tiejun

“…With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring…”
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Study on bionics-based swarm intelligence optimization algorithms for wavelength selection in near-infrared spectroscopy by Long, Tingze, Yi, Han, Kang, Yatong, Qiao, Ying, Guan, Ying, Chen, Chao

“…In this paper, ten bionic swarm intelligence optimization algorithms (BSIOAs) inspired by natural organisms, such as Harris Hawk Optimization Algorithm,…”
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A time–frequency analysis method of electromagnetic signal for coal and rock properties recognition while drilling based on CWT and GAPSO-ROA by Liu, Yang, Si, Lei, Wang, Zhongbin, Wei, Dong, Gu, Jinheng, Li, Xin, Dai, Jianbo

“…•A time–frequency analysis method is proposed based on electromagnetic detection.•The electromagnetic signals of coal and rock while drilling are analyzed…”
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Interpretable CEEMDAN-SMA-LSSVM hybrid model for predicting shield tunnel-induced settlement by Meng, Shaoqiang, Shi, Zhenming, Gutierrez, Marte

“…Accurate and interpretable prediction of shield tunnel-induced settlement poses a significant challenge due to the complex interplay of various influencing…”
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Development of near-infrared spectroscopy calibration model and monitoring software: For monitoring hexamethylenetetramine concentration in hexamethylenetetramine–acetic acid solution by Qian, Shichuan, Wang, Zhi, Chao, Hui, Sheng, Xin, Zhao, Xinping, Lu, Zhiyan, Xing, Ruoting, Xu, Yinguang, Jin, Shaohua, Li, Lijie, Chen, Kun

“…•NIR coupled with SPXY-SGFD-UVE-DE-MFO-SVM for HA concentration determination in a solution of HA-HAc.•A comparative analysis of partitioning method, spectral…”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model…”
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E-Commerce Enterprises Financial Risk Prediction Based on FA-PSO-LSTM Neural Network Deep Learning Model by Chen, Xiangzhou, Long, Zhi

“…The rapid development of Internet information technology has made e-commerce enterprises face complex and changing financial problems. Combining artificial…”
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A multiple surrogate-assisted hybrid evolutionary feature selection algorithm by Zhang, Wan-qiu, Hu, Ying, Zhang, Yong, Zheng, Zi-wang, Peng, Chao, Song, Xianfang, Gong, Dunwei

“…Feature selection (FS) is an important data processing technology. However, existing FS methods based on evolutionary computation have still the problems of…”
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Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization by Xu, Minghai, Cao, Li, Lu, Dongwan, Hu, Zhongyi, Yue, Yinggao

“…Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine…”
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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Tian, Chen-Xu, Li, Yu-Xuan

“…Dung Beetle algorithm is an intelligent optimization algorithm with advantages in exploitation ability. However, due to the high randomness of parameters,…”
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Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm by Meng, Guanglei, Cong, Zelin, Li, Tingting, Wang, Chenguang, Zhou, Mingzhe, Wang, Biao

“…With the rapid development of artificial intelligence and data science, Dynamic Bayesian Network (DBN), as an effective probabilistic graphical model, has been…”
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