Prediction method of soil water content based on SVM optimized by improved salp swarm algorithm by Xiaoqiang ZHAO, Fan YANG, Zhufeng YAN

“…Aiming at the problems of low accuracy and low efficiency of traditional soil water content prediction methods, support vector machine (SVM) was used to establish a prediction model, and the soil water content prediction method based on SVM optimized was proposed by the improved salp swarm algorithm.Firstly, the opposition-based learning and chaotic optimization were introduced to improve the standard salp swarm algorithm to solve the problem that the algorithm was easy to fall into the local optimal solution and its convergence speed was slow.Secondly, the improved salp swarm algorithm was used to optimize the parameters that affect the performance of SVM and the corresponding prediction model was built.Finally, the proposed model was compared with the particle swarm optimization SVM and the whale algorithm optimized SVM prediction model.The experimental results show that the mean square error and decision coefficient of the proposed model are 0.42 and 0.901, which are better than the other two models which verified the effectiveness of the proposed method.…”
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Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm by Di Leng, Ziliang Qiu

“…An anomaly detection identification method based on fuzzy C-means algorithm is proposed to cluster the measured data and identify the anomaly detection of power system. …”
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Prediction method of soil water content based on SVM optimized by improved salp swarm algorithm by Xiaoqiang ZHAO, Fan YANG, Zhufeng YAN

“…Aiming at the problems of low accuracy and low efficiency of traditional soil water content prediction methods, support vector machine (SVM) was used to establish a prediction model, and the soil water content prediction method based on SVM optimized was proposed by the improved salp swarm algorithm.Firstly, the opposition-based learning and chaotic optimization were introduced to improve the standard salp swarm algorithm to solve the problem that the algorithm was easy to fall into the local optimal solution and its convergence speed was slow.Secondly, the improved salp swarm algorithm was used to optimize the parameters that affect the performance of SVM and the corresponding prediction model was built.Finally, the proposed model was compared with the particle swarm optimization SVM and the whale algorithm optimized SVM prediction model.The experimental results show that the mean square error and decision coefficient of the proposed model are 0.42 and 0.901, which are better than the other two models which verified the effectiveness of the proposed method.…”
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Adhesion control research for freight trains based on an improved sliding mode extremum seeking algorithm by CHENG Xiang, TANG Runzhong, HUANG Gang, HUANG Yishan

“…A resistance parameters estimation method based on particle swarm algorithm (PSO) was proposed to deal with the absence of running resistance due to inaccessibility for measurement. …”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …”
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New Network Selection Algorithm Based on Cosine Similarity Distance and PSO in Heterogeneous Wireless Networks by Said Radouche, Cherkaoui Leghris

“…This work proposes an access network selection algorithm, based on cosine similarity distance, subjective weights using Fuzzy ANP, and objective weights using particle swarm optimization. …”
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Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

“…To assess its feasibility, the ANNs were also modeled using the Particle Swarm Optimization, and Imperialist Competitive Algorithms. …”
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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms by Ariyaratne M.K.A., Silva R.M.

“…Some of our findings include (a) genetic algorithm and particle swarm optimization have been extensively used in the literature, (b) meta-heuristics have been widely applied in the sports of cricket and soccer, (c) the limitations and challenges of using meta-heuristics in sports. …”
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INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

“…Numerical and experimental results have demonstrated that,ABC algorithm has better convergence and optimization ability than genetic（ GA） algorithm and particle swarm optimization（ PSO） algorithm; it has certain anti-noise capability that can optimally obtain the CZM parameters under different levels of measurement noise,and the simulated load-displacement data with the inversely identified parameters match the actual test ones well.…”
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Precision evaluation criteria for simulation algorithms in infinite systems: A network model-based approach by Yonglong Ding

“…As the particle count escalates, the computational demands of diverse simulation algorithms surge, paralleled by a marked improvement in accuracy. …”
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Distributed Algorithm for Traffic Data Collection and Data Quality Analysis Based on Wireless Sensor Networks by Nan Ding, Guozhen Tan, Wei Zhang, Hongwei Ge

“…Considering the certain correlated characteristics, this algorithm firstly processes the data samples with an aggregation model based on the mean filter, and then, the data quality is analyzed, and partial bad data are repaired by the cusp catastrophe theory. …”
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A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data by Qingchen Zhang, Zhikui Chen

“…The paper proposes a distributed weighted possibillistic c-means clustering algorithm (DWPCM), which works in three steps. First the paper applies the partial distance strategy to PCM (PDPCM) for calculating the distance between any two objects in the incomplete data set. …”
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An Algorithm to Construct a Tridiagonal Matrix Factored by Bidiagonal Matrices with Prescribed Eigenvalues and Specified Entries by Koichi Kondo

“…Using techniques from discrete soliton theory, we derive recurrence relations that connect matrix entries and eigenvalues. The algorithm systematically computes unknown entries in the matrix from given spectrum data and partial matrix information. …”
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GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks by R. Rajakumar, J. Amudhavel, P. Dhavachelvan, T. Vengattaraman

“…The parameters like computation time, percentage of localized node, and minimum localization error measures are utilized to analyse the potency of GWO rule with other variants of metaheuristics algorithms such as particle swarm optimization (PSO) and modified bat algorithm (MBA). …”
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A modified perturb and observe MPPT algorithm for PEMFC with rapid convergence and low power oscillation by Resat Celikel, Omur Aydogmus, Musa Yilmaz

“…A comparative analysis is conducted against the conventional P&O and optimization-based MPPT algorithms, including Particle Swarm Optimization (PSO), Cuckoo Search Algorithm (CSA), and Genetic Algorithm (GA). …”
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An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms by Saikat Banerjee, Abhoy Chand Mondal

“…This research aims to develop connectivity across many cold storage facilities utilizing the traveling salesperson problem algorithm. Various computational intelligence algorithms such as Greedy Algorithm, Simulated Annealing, 2-opt Algorithm, Particle Swarm Optimization, and Ant Colony Optimization are employed to determine the minimum route. …”
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Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction by Zhen-Yao Chen

“…This paper strives to raise the imitating effectiveness of radial basis function-based neural network (RNNet) through biological learning (BL) and swarm intelligence (SI) optimization algorithms. Latter, the artificial immune system (AIS) and particle swarm optimization (PSO) algorithms are utilized for RNNet to regulate. …”
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Hysteresis Parameter Identification of J-A Model Current Transformer Based on Improved Whale Algorithm by Yilun LI, Yishu ZHANG, Guang SONG

“…By taking advantage of the proposed method, particle swarm algorithm, and whale algorithm respectively, the hysteresis curves of P-type current transformer and PR-type current transformer are identified and compared. …”
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Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System by Ch. Amarendra, A. Pandian, Ch. Rami Reddy, Ch. Naga Sai Kalyan, Mohit Bajaj, Kareem M. AboRas, Daniel Eutyche Mbadjoun Wapet

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A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning by Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı

“…Conventional optimization techniques like genetic algorithms (GAs) and particle swarm optimization (PSO) are weak when it comes to real-time adjustment to the environment and multi-objective constraints. …”
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