Numerical analysis and optimization of crashworthiness of bionic hierarchical thin-walled square tubes by XU Fei, QIN RuiXian, CHEN BingZhi

“…The radial basis function (RBF) model and the genetic algorithm were used for the multi-objective optimization of the BHST4-2 structure, and optimal al parameters of the structure were obtained. …”
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Investigation of improvements to city areas of importance to the implementation of clean water by Feby Milanie

“…Key findings highlight that the use of sensors to monitor water quality parameters such as pressure, flow, pH, chlorine, and turbidity; the application of the elitist nondominated sorting genetic algorithm (NSGA-II); and active community involvement with government support are effective in improving the quality and distribution of clean water. …”
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Evaluation on Filter Performance of Variational Mode Decomposition and Its Application in Separating Closely Spaced Modes by Wenjing Gu, Li Zhou

“…The initial center frequencies could be simply determined by prior estimated modal frequencies of the analyzed signal, while the constraint parameter is optimized utilizing a genetic algorithm (GA). A two-degree-of-freedom parametric system is considered to evaluate the capability of VMD in the separation of closely spaced modes. …”
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
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VIBRATION ANALYSIS AND OPTIMAL DESIGN OF LIGHT TRUCKS FUEL FILTER BRACKET by WU Hao, ZHONG ZiFeng

“…Lastly,the fuel filter bracket was multi-objective optimization analyzed based on Isight platform integrated CATIA,HYPERMESH and NASTRAN by adopting non-dominated sorting genetic algorithm. So the circular tube optimal parameters are obtained and the bracket maximum stress value are lower than the allowable stress after optimization. …”
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Dual-Layer Dynamic Optimization Model for Carbon-Conscious Transport Mode Allocation by Jing Gan, Dongmei Yan, Linheng Li

“…A sophisticated fusion algorithm, integrating the Dial_MSA algorithm with a genetic algorithm (GA), is developed to solve the model. …”
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Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
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A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience by Yugang Wang, Nengchao Lyu

“…Other four parameters (SMDL, SMDH, α1, and α2) were calibrated using a classical genetic algorithm, and the effects of ADAS and driving experience in these four parameters were analyzed using T-test. …”
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Research on Equivalent Method of Bench Fatigue Tests for Main Reducers by Zou Xihong, Zhou Qing, Yuan Dongmei, Xiao Yukai, Zhou Yuting, He Ping

“…By collecting the actual driving load spectrum of users and the test site, the road condition and road load spectrum of the test site are reconstructed by using rain-flow counting and elite strategy non-dominated sorting genetic algorithm. In order to verify the effectiveness of the equivalent method, the finite element model of the main reducer is established and the static strength analysis is carried out to verify the mesh independence and model validity. …”
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Fuzzy Sliding Mode Control with Moving Sliding Surface of Rotary Inverted Pendulum by Oğuz Yakut, Muhammet Aydın

“…The boundary values of the membership functions in the fuzzy logic structure have been optimized using genetic algorithm codes in Matlab program. The sum of the squares of the errors is preferred as the objective function. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
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THE OPTIMIZATION OF THE PROCESS PARAMETERS IN THE COURSE OF THE ELECTRICAL DISCHARGE MACHINING OF THE MONOCRYSTALLINE SILICON WHICH IS BASED ON THE PARETO FRONTIER by ZHANG LiXin, LI YuXi, SHI WeiChao

“…Aiming at improving the material removal rate and reducing the surface roughness to establish the process parameters optimization model,it designs genetic algorithm for solving optimization problem and get the Pareto optimal solution set. …”
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Optimization Design and Simulation of Single Degree of Freedom Legs of Quadruped Robots by Shi Huiwen, He Jing, Wang Zhijun

“…The optimal motion size and initial position of each component of the mechanism are optimized by using the genetic algorithm and the general nonlinear optimization method with the approximation degree of non-impact foot trajectory as the objective. …”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…As there are many influential features on traffic state, the genetic algorithm (GA) has been used to identify 25 of 32 features, which are the most influential on models’ fitness. …”
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Optimal Location of Multiple Tuned Mass Dampers in Regular and Irregular Tall Steel Buildings Plan by Mohsen Khazaei, Reza Vahdani, Ali Kheyroddin

“…The SAP2000 API and MATLAB genetic algorithm are used to determine the optimal location of the MTMDs in the roof plans of the buildings. …”
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Balance Design and Optimization of Swing Force of the New Spatial 1T1R Parallel Mechanism by Wang Linping, Shen Huiping, Li Ju, Nie Yabiao, Chen Bingwei

“…Finally, considering the practical principle, further study the balance optimization of the pendulum force part, and use the genetic algorithm to obtain the optimal counterweight mass and counterweight position, and compare the balance before and after. …”
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A A three-phase induction motor dynamic framework regulated by predictive and intelligent optimizations. by Shaswat Chirantan, Bibhuti Bhusan Pati

“…In addition, the paper uses Gravitational Search Algorithm (GSA) and Genetic Algorithm (GA) as benchmarks and shows that the results of FCS and I-FCS methods have superior performance. …”
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Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Various models including back propagation (BP), RBF, genetic algorithm-RBF (GA-RBF), CS-RBF, and others are compared with the improved CS-RBF model through experimental analysis. …”
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A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid by Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

“…Moreover, we have proposed a novel hybrid deep learning method based on multilayer perceptron (MLP), long short-term memory (LSTM), and genetic algorithm (GA). We then simulated all the deep learning methods on a climate and electricity consumption dataset for the city of Douala. …”
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Sound Radiation Analysis of a Front Side Window Glass of DrivAer Model under Wind Excitation by Yinzhi He, Zihao Shi, Yu Wu, Zhigang Yang

“…Then, a platform based on Matlab-Abaqus cosimulation was originally developed, and the genetic algorithm was applied to find out the best fitted spring stiffness, which was used to build the equivalent model. …”
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