Modeling and Parameter Identification of the MR Damper Based on LS-SVM by Cheng Qian, Xiaoliang Yin, Qing Ouyang

“…Firstly, the theory of the modeling method based on LS-SVM was illustrated including the genetic algorithm (GA) optimization method. Secondly, the characteristic curve of the MR damper was tested based on different conditions. …”
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HOC Based Blind Identification of Hydroturbine Shaft Volterra System by Bing Bai, Lixiang Zhang

“…When using optimization method to identify the time domain kernels, we combined the traditional optimization algorithm (direct search method) with genetic algorithm (GA) and constituted the hybrid genetic algorithm (HGA). …”
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A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System by Liming Yao, Jiuping Xu

“…Then an interactive programming method and genetic algorithm are utilized to solve the crisp model. …”
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Multiobjective-Optimized Design of a New UWB Antenna for UWB Applications by C. Moreno de Jong van Coevorden, M. Fernández Pantoja, Salvador G. García, A. Rubio Bretones, R. Gómez-Martín, K. Palmer

“…A multiobjective genetic algorithm has been applied to design a new printed, bow-tie antenna for ultrawideband applications, that is, ground penetrating radar, short range and high data rate communications, and so forth. …”
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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances by Jinlin Liao, Feng Zhang, Shiwen Zhang, Cheng Gong

“…This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning. …”
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An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network by Tianye Xing, Yidan Wang, Yingxue Liu, Qi Wu, Rong Ma, Xiaoling Shang

“…On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research. …”
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TEC Data Forecasting Using a Novel Nonlinear Model by Jun Wang, Bihua Zhou, Shudao Zhou

“…A novel nonlinear TEC forecasting model is proposed in the paper; the main produces of the model are as follows: first the EOF decomposition of TEC data is made, then the genetic algorithm is used to establish the nonlinear time field model, and finally the decomposed space field and the predicted time field are reconstructed to achieve the purpose of forecasting the TEC data. …”
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Inverse Estimates for Nonhomogeneous Backward Heat Problems by Tao Min, Weimin Fu, Qiang Huang

“…We show that this problem can be converted into the first Fredholm integral equation, and an algorithm of inversion is given using Tikhonov's regularization method. The genetic algorithm for obtaining the regularization parameter is presented. …”
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Synthesis of Multicriteria Controller by Means of Fuzzy Logic Approach by Andrew Lozynskyy, Lyubomyr Demkiv

“…To find optimal values of membership function’s parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. …”
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Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge by Yourim Yoon, Yong-Hyuk Kim

“…A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. …”
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Hierarchical Sliding Mode Algorithm for Athlete Robot Walking by Van Dong Hai Nguyen, Xuan-Dung Huynh, Minh-Tam Nguyen, Ionel Cristian Vladu, Mircea Ivanescu

“…A new method based on hierarchical sliding mode for controlling postures is also introduced. Genetic algorithm is applied to design the oscillator for robot motion. …”
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Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding by Ming-Yi Ju, Siao-En Wang, Jian-Horn Guo

“…To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. …”
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Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…Analyzing the sources of stress and influencing factors of athletes can find measures to relieve and reduce stress and provide theoretical reference for the regulation of athletes’ competition pressure. Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation (BP) neural network to solve the problem that traditional neural network learning algorithm is slow and easy to fall into local minimum. …”
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Two-Echelon Location-Routing Problem with Time Windows and Transportation Resource Sharing by Yong Wang, Yaoyao Sun, Xiangyang Guan, Yanyong Guo

“…Moreover, 20 small-scale instances are used for an algorithm comparison with multiobjective genetic algorithm and nondominated sorting genetic algorithm-II, and the solutions demonstrate the superiority of the proposed algorithm in optimizing logistics networks. …”
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Integrated Optimization of Mixed Cargo Packing and Cargo Location Assignment in Automated Storage and Retrieval Systems by Bin Lei, Zhaoyuan Jiang, Haibo Mu

“…An improved hybrid genetic algorithm based on a group coding method is designed to solve the problem. …”
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Optimization Control of Cooperative Trajectory towards Dual Arms Based on Time-Varying Constrained Output State by Hui Zhang, Wenbin Zha, Xiangrong Xu, Yongfei Zhu

“…At the same time, it is combined with an elite retention genetic algorithm to further optimize the target. Based on the disturbance and tracking problem, a PD control method based on time-varying constrained output state is proposed, and the control law is designed. …”
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An Equilibrium Chance-Constrained Multiobjective Programming Model with Birandom Parameters and Its Application to Inventory Problem by Zhimiao Tao, Jiuping Xu

“…By embedding the birandom simulation technique, a modified genetic algorithm is designed to solve the equilibrium chance-constrained multiobjective programming model. …”
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Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization by Munish Rattan, Manjeet Singh Patterh, B. S. Sohi

“…It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. …”
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Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization by Peng Wang, Zhouquan Zhu, Shuai Huang

“…In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. …”
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Fractional Integration via Picard Method for Solving Fractional Differential-Algebraic Systems by Susan H. Mohammad, Abdulghafor Mohammed Al-Rozbayani

“…By comparing the results with the exact solution, it was found that this method is highly efficient for finding solutions. Also, a genetic algorithm (GA) was used to speed up the approximate solutions when choosing the best values for the fractional derivative, which increased the efficiency of Picard’s fractional integral method in finding the best solutions. …”
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