Study on Active and Passive Control of Order Vibration for Electric Vehicle Power Train by Yuanyuan Zhang, Peng Yu, Jian Wang

“…Secondly，in consideration of active control effect，the best gear modification parameters are obtained，transmission error volatility is reduced by joint optimization with elitist retention genetic algorithm and gear engagement finite element model. …”
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Research on Gear Modification and Simulation of Hybrid Transmission by Dai Jianhua, Chen Weiwei, Jiang Jibin, Chen Xuewen, Zhang Hui

“…To deal with the phenomenon of partial load of the hybrid transmission gear pair in the actual working process and to solve the eccentric load problems of a hybrid light transmission gear pair, the gear analysis software Romax is used for 3D modeling of the meshing helical gears; one gear pair is simulated and analyzed under the commonly used operating conditions of the hybrid transmission set for operation, and the second-generation genetic algorithm is used for gear modification. The modification results show that the transmission error value, contact load and maximum contact stress of the gear pair are reduced under different working conditions, the offset load of the gear face is improved, and the meshing performance and life of the gear pair are improved, which provides some reference for the modification of the hybrid transmission gear.…”
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Research on Distribution and Inventory Cooperation of Agricultural Means Supply Chain by Yanxin Zhu, Jiajing Wang, Lixian Liu

“…By the features of the model, the biobjective genetic algorithm was improved based on elitism selection, aiming to improve the quality of noninferior solution in biobjective model. …”
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A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode by Renjie Zhang, Shisong Yin, Mao Ye, Zhiqiang Yang, Shanglu He

“…In this study, a timetable optimization model is proposed by minimizing the total passenger waiting time at platforms. Further, a genetic algorithm is used to solve the minimization problems in the model. …”
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Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO by Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa

“…The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. …”
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Receiver Diversity Combining Using Evolutionary Algorithms in Rayleigh Fading Channel by Mohsen Akbari, Mohsen Riahi Manesh, Ayman A. El-Saleh, Ahmed Wasif Reza

“…In this paper, an imperialistic competitive algorithm (ICA) is proposed and compared with two other evolutionary based algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA), for diversity combining of signals travelling across the imperfect channels. …”
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Planar ESPAR Array Design with Nonsymmetrical Pattern by Means of Finite-Element Method, Domain Decomposition, and Spherical Wave Expansion by Jesús García, Juan F. Izquierdo, Jesús Rubio, Miguel A. González, Juan Zapata

“…This procedure has been firstly validated by analyzing an array of monopoles on a ground plane, and then it has been applied to synthesize a prescribed radiation pattern optimizing the reactive loads connected to the feeding ports of the array of circular patches by means of a genetic algorithm.…”
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Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna by Sarayoot Todnatee, Chuwong Phongcharoenpanich

“…This research has proposed the iterative genetic algorithm (GA) optimization scheme to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. …”
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Research on Taxi Pricing Model and Optimization for Carpooling Detour Problem by Wei Zhang, Ruichun He, Yong Chen, Mingxia Gao, Changxi Ma

“…This paper builds a multiobjective optimization model for solving the taxi carpooling with detour problem and designs a genetic algorithm to determine a fair pricing scheme for riders and drivers. …”
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Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

“…The presented model generates Pareto solutions using two proposed meta-heuristic algorithms, multi objective particle swarm optimization and non-dominated sorting genetic algorithm and combination of the two. To compare the performance of the solution methods, five criteria are defined and the numerical results show the efficiency and quality of the proposed hybrid algorithm.…”
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Multi-objective Optimization Design of an Aviation Split Path Transmission System by Zhao Ning, Fu Chenxi, Zhao Yongzhi, Fu Bibo

“…The promoting the safety performance and lightweight are considered as the objectives,a multi-objective optimization design of an aviation split path transmission system is conducted.To measure the safety performance of the system,gear contact and bending fatigue strength are computed.Afterwards,a multi-objective optimization model that includes maximum safety factors and minimum mass is developed,with the system parameters selected as design variables.Considering the system requirements for load sharing,a dynamics model of the split path transmission system is established so that the load sharing characteristics can be quantifiably measured and restricted.Non-dominated Sorting Genetic Algorithm II（NSGA-II）is adopted to solve the model.The results show that the method promoted can effectively improve the safety performance and reduce the weight at the same time.…”
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Thermal Aeroelastic Tailoring for Laminated Panel with Lamination Parameters and JAYA Algorithm by Peng Jin, Qihao Zheng, Wei Wei

“…In the second-stage, instead of using conventional genetic algorithm, the enhanced JAYA method is extended to search the laminate configuration to target the optimal lamination parameters. …”
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Array gain and phase calibration in the presence of multipath based on weighted spatial smoothing by WANG Bu-hong1, WANG Yong-liang2, CHEN Hui2

“…Simulation results using genetic algorithm are provided to demonstrate the effectiveness and behavior of the proposed algorithm…”
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Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming by Peng Liu, Caiyun Liu, Xiaoling Wei

“…The weights of the upper indicators are determined by Analytic Hierarchy Process (AHP) and Improved Order Relation Analysis (Improved G1) combination weighting method and the bilevel programming model is solved by the Improved Fast Elitist Non-Dominated Sorting Genetic Algorithm (Improved NSGA-II). Finally, the effectiveness of the model is validated by a numerical example.…”
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Optimization Research of the Hinge Position and Output Speed of Electromechanical Erection Device by Wei Cai, Shangjun Ma, Jianxin Zhang, Yong Zhou, Xiang Chen, Geng Liu

“…The relation between output speed and output power， the relation between output speed and output force， the relation between hinge position and output power， the relation between hinge position and output force are explored. The Genetic Algorithm is taken to optimize the output speed and the hinge position. …”
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Dynamic Modeling and Parameters Optimization of Large Vibrating Screen with Full Degree of Freedom by Xiaodong Yang, Jida Wu, Haishen Jiang, Wenqiang Qiu, Chusheng Liu

“…The BP neural network is used to model the relationship between beam position and maximal elastic deformation of the lateral plate. Further, the genetic algorithm is used to optimize the established neural network model, and the optimal design parameters are obtained.…”
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Rolling Bearing Fault Diagnosis Based on SVM Optimized with Adaptive Quantum DE Algorithm by Yuanyuan Li, Qichun Sun, Hua Xu, Xiaogang Li, Zhijun Fang, Wei Yao

“…Finally, compared with quantum genetic algorithm support vector machines (QGA-SVM) and differential evolution-support vector machines (DE-SVM), etc., the results show that the algorithm proposed in this study has a higher diagnosis accuracy and shorter running time, providing great practical engineering value in the application of rolling bearing fault diagnosis.…”
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MULTI-OBJECTIVE OPTIMAL DESIGN OF ALUMINUM CELL by YANG EChuan, HUANG Lu, PANG Tong, ZHANG ZhenHua, YUAN TianXun

“…The orthogonal experiment was completed with full factor experimental design method,and the nine-lattice energy absorption box was determined as a follow-up research object,explore the effect of wall thickness on the crashworthiness of crash box,A neural network model was used to construct the proxy model,and the multi-objective optimization design was completed using the NSGA-II genetic algorithm. For the optimized nine-lattice energy absorption box,The energy absorption was increased,the peak crushing force was reduced and the lightweight is achieved.…”
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Dynamic Multicompartment Refrigerated Vehicle Routing Problem with Multigraph Based on Real-Time Traffic Information by Deng-Kai Hou, Hou-Ming Fan, Ying-Chun Lv, Xiao-Xue Ren

“…In the preoptimization phase, this study, based on historical traffic information, designed a hybrid chaotic genetic algorithm with variable neighborhood search (HCGAVNS) to obtain the initial delivery scheme. …”
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Tension Distribution and Dynamics Analysis of a Cable-driven Humanoid Wrist by Gui Heli, Wang Zhaodong, Cao Yi

“…At the same time, taking into account the redundant actuation and single-direction force for the cables, the cable tension distribution optimization model is established, and the cable tension distribution is obtained by genetic algorithm. Secondly, aiming at the influence of the cable mass, a more accurate dynamics model is established by considering catenary. …”
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