16 papers · ranked by Valyu relevance
Minghai Xu, Li Cao, Dongwan Lu, Zhongyi Hu + 2 more
'Heming Jia'] Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction, and combining image processing technology with…
Peng Wang, Yu Zhang, Hongwan Yang
With the deepening of the power market reform on the retail side, it is of great significance to study the economic optimization of the microgrid cluster system. Aiming at the economics of the microgrid cluster, comprehensively considering the degradation cost of energy storage battery, the compensation cost of…
Yong He, Mingran Wang
This study suggests an improved chaos sparrow search algorithm to overcome the problems of slow convergence speed and trapping in local optima in UAV 3D complex environment path planning. First, the quality of the initial solutions is improved by using a piecewise chaotic mapping during the population initialization…
Yong Xu, Bicong Sang, Yi Zhang, Heming Jia
Path planning is an important research direction in the field of robotics; however, with the advancement of modern science and technology, the study of efficient, stable, and safe path-planning technology has become a realistic need in the field of robotics research. This paper introduces an improved sparrow search…
Feng Zheng, Gang Liu, Roberto Teti
In light of the problems of slow convergence speed, insufficient optimization accuracy and easy falling into local optima in the sparrow search algorithm, this paper proposes an adaptive sinusoidal-disturbance-strategy sparrow search algorithm (ASDSSA) and its mathematical equation. Firstly, the initial population…
Xiaoyu Li, Shaobo Li, Peng Zhou, Guanglin Chen + 9 more
'Yunfei Gao' 'Marcin Sosnowski' 'Karolina Grabowska' 'Dorian Skrobek' 'Ghulam Moeen Uddin' 'Anna Kulakowska' 'Anna Zylka' 'Bachil El Fil'] In this paper, we propose a broad learning system based on the sparrow search algorithm. Firstly, in order to avoid the complicated manual parameter tuning process and obtain the…
Xiaofeng Zhang, Fan Xiao, XiLiang Tong, Juntong Yun + 6 more
'Ying Sun' 'Bo Tao' 'Jianyi Kong' 'Manman Xu' 'Baojia Chen'] Complete trajectory planning includes path planning, inverse solution solving and trajectory optimization. In this paper, a highly smooth and time-saving approach to trajectory planning is obtained by improving the kinematic and optimization algorithms for…
Ganghui Zhou, Jing Gao, Dongshi Zuo, Jin Li + 1 more
Background With the significant reduction in the cost of high-throughput sequencing technology, genomic selection technology has been rapidly developed in the field of plant breeding. Although numerous genomic selection methods have been proposed by researchers, the existing genomic selection methods still face the…
Chengtian Ouyang, Donglin Zhu, Fengqi Wang
This paper solves the drawbacks of traditional intelligent optimization algorithms relying on 0 and has good results on CEC 2017 and benchmark functions, which effectively improve the problem of algorithms falling into local optimality. The sparrow search algorithm (SSA) has significant optimization performance, but…
Shaoqiang Yan, Ping Yang, Donglin Zhu, Wanli Zheng + 1 more
This paper solves the shortcomings of sparrow search algorithm in poor utilization to the current individual and lack of effective search, improves its search performance, achieves good results on 23 basic benchmark functions and CEC 2017, and effectively improves the problem that the algorithm falls into local optimal…
Ping Yang, Shaoqiang Yan, Donglin Zhu, Jiangpeng Wang + 3 more
'Zhe Yan' 'Song Yan'] In order to overcome the defect that sparrow search algorithm converges very fast but is easy to fall into the trap of local optimization, based on the original mechanism of sparrow algorithm, this paper proposes game predatory mechanism and suicide mechanism, which makes sparrow algorithm more in…
Xuehua Su, Xiaolong He, Gang Zhang, Yuehua Chen + 1 more
Multiparameter water quality trend prediction technique is one of the important tools for water environment management and regulation. This study proposes a new water quality prediction model with better prediction performance, which is combined with improved sparrow search algorithm (ISSA) and support vector…
Zhiwei Sun, Hua Wu, Yang Liu, Suyu Zhou + 2 more
'Davy P. Gaillot'] Wireless sensor networks (WSNs) are applied in many fields, among which node localization is one of the most important parts. The Distance Vector-Hop (DV-Hop) algorithm is the most widely used range-free localization algorithm, but its localization accuracy is not high enough. In this paper, to solve…
You Wang, Fang Dai, Ruxue Jia, Rui Wang + 2 more
'Zhenyu Wang'] To ensure the safety and stability of the shield tunnel construction process, the ground settlement induced by the shield construction needs to be effectively predicted. In this paper, a prediction method combining empirical mode decomposition (EMD), chaotic adaptive sparrow search algorithm (CASSA), and…
Yuanzhou Zheng, Lei Li, Long Qian, Bosheng Cheng + 3 more
'Yuan Zhuang' 'Gianni D’Angelo'] Objective: In this paper, we propose a Sine chaos mapping-based improved sparrow search algorithm (SSA) to optimize the BP neural network for trajectory prediction of inland river vessels because of the problems of poor accuracy and easy trapping in local optimum in BP neural networks.…
Shaoming Qiu, Jiancheng Zhao, Xuecui Zhang, Ao Li + 3 more
'Fen Chen' 'Nirvana Meratnia'] Sensor nodes are widely distributed in the Internet of Things and communicate with each other to form a wireless sensor network (WSN), which plays a vital role in people’s productivity and life. However, the energy of WSN nodes is limited, so this paper proposes a two-layer WSN system…