SHAPE OPTIMIZATION OF NONLINEAR CURVED BEAM AND DESIGN OF CONSTANT PRESSURE SUPPORT DEVICE by XIE Miao, ZHANG WenZhuo, Ll WeiDong, LlU Jie, ZHOU QingHai, XING XuWen

“…The characteristics of Nonlinear Plane Curved Beam with negative stiffness are briefly described by using B-spline curve. Based on genetic algorithm and nonlinear finite element method , the shape of the nonlinear plane curved beam with negative stiffness is designed and optimized. …”
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A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area by A. W. Reza, K. Dimyati, K. A. Noordin, M. J. Islam, M. S. Sarker, H. Ramiah

“…In this regard, this paper combines ray-tracing (RT), genetic algorithm (GA), depth first search (DFS), and branch-and-bound method as a new technique that guarantees the removal of blind spots and subsequently determines the optimal wireless coverage using minimum number of transmitters. …”
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Optimization Design and Experimental Study of Low-Pressure Axial Fan with Forward-Skewed Blades by Li Yang, Ouyang Hua, Du Zhao-Hui

“…Using back propagation (BP) neural network and genetic algorithm (GA), the optimization was performed for a radial blade. …”
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Torque Dynamic Coordinated Control for HEV based on the ISG Motor Torque Compensation by Deng Tao, Lu Renzhi, Li Yanan, Lin Chunsong

“…For the fluctuations problem of driveline torque which results from working-mode switching of dual-clutch parallel hybrid electric vehicles with integrated starter / Generator（ ISG）,focusing on study the process of transferring from pure electric working model to only engine working model.Based on the method of optimal the total efficiency of hybrid electric vehicle,the steady-state energy management control strategy is established,and then steady torque distribution area is achieved,which is the basis of coordination and control of dynamic torque.For the problem adopted the engine dynamic torque estimate genetic algorithm based on BP neural network algorithm,and ISG motor torque compensation method is proposed for dynamic torque coordinated control strategy.The simulation results show that the method proposed above can significantly decreases the torque fluctuations of working model transferring process,at the same time,the jerk to driveline is greatly reduced.…”
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Dispatching Design for Customized Bus of Hybrid Vehicles Based on Reservation Data by Xuemei Zhou, Jiaojiao Xi, Zhen Guan, Xiangfeng Ji

“…Finally, a calculation example is designed and the genetic algorithm is used to solve the model. The results show that the hybrid vehicle solution is more reasonable than the traditional single-vehicle solution and reveal that the model is feasible to optimize scheduling plan. …”
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Flexible terahertz beam manipulation and convolution operations in light-controllable digital coding metasurfaces by Min Jia, Chao Zhao, Hui Wang, Weiran Sun, Yuncheng Lu

“…We also achieve dynamic modulation of vortex electromagnetic waves based on wireless light-controllable coding metasurfaces. And the genetic algorithm is used to reverse design the array arrangement of the coding metasurface to achieve terahertz broadband radar scattering cross-section reduction. …”
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An Approach for Modeling, Simulation, and Optimization of Catalytic Production of Methyl Ethyl Ketone by Zahra Parhizi, Milad Nayebi, Edris Mohammadzadeh, Reza Torfi

“…Eventually, an evolutionary genetic algorithm was adopted to optimize the reactor to maximize MEK production. …”
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Scheduling Optimization for Twin ASC in an Automated Container Terminal Based on Graph Theory by Yifeng Xu, Jin Zhu

“…To solve this problem, a two-stage adaptive genetic algorithm (AGA) based on a graph theory model is proposed. …”
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Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design by Qiao Xiao, Zhicheng Bi, Chaofeng Wang

“…The simulation results validate the QIA framework’s superiority over the traditional TDIA and genetic algorithm benchmarks.…”
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Network slicing deployment method based on isolation level by Qirun PAN, Kaizhi HUANG, Wei YOU

“…In order to balance the performance isolation requirements and security isolation requirements of network slicing,a network slice deployment method based on isolation level was proposed.The method first determined the isolation level of the network slice instance from the aspects of performance isolation and security isolation.When deploying the virtual nodes in the appropriate location,not only ensured that all network slice instances could reach their respective performance levels and security levels,but also isolated them.The gradation difference started to limit the coexistence condition of the virtual node.Then the integer linear programming method was used to model the problem,and the deployment cost was minimized as the objective function.Finally,the particle swarm optimization algorithm based on genetic algorithm was used to find the final deployment result.The simulation results show that the method has lower deployment cost and higher benefit-to-cost ratio,and can guarantee both performance and security.…”
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Synthesized Cluster Head Selection and Routing for Two Tier Wireless Sensor Network by Keyur Rana, Mukesh Zaveri

“…We have proposed an integrated approach of cluster head selection and routing in two tier wireless sensor network (WSN) using Genetic Algorithm based cluster head selection with A-Star algorithm based routing method to extend life of WSN. …”
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Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition by Ganqi Feng, Le Li, Yongjian Ji, Liyong Wang, Changsong Zheng, Fuhua Wei

“…The penalty factor is established with a genetic algorithm（GA） via a fitness function between the permutation entropy and minimum value of VMD components，which determines penalty factors of the VMD. …”
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Optimizing PID Controller Design for Rotor Systems Suspended by Active Magnetic Bearings by Ibrahim Abubakar, Atte Putkonen, Marek Rehtla, Tuomo Lindh, Stijn Derammelaere, Niko Nevaranta

“…Therefore, a multiobjective genetic algorithm optimization is proposed in this paper to seek an optimal configuration for the controller parameters. …”
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Stochastic Portfolio Selection Problem with Reliability Criteria by Xiangsong Meng, Lixing Yang

“…The equivalent linear (mixed integer) programming models are also deduced for different evaluation strategies. A genetic algorithm with a polishing strategy is designed to search for the approximate optimal solutions of the proposed models. …”
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Optimization Model of Traffic Sensor Layout considering Traffic Big Data by Xu Sun, Zixiu Bai, Kun Lin, Pengpeng Jiao, HuaPu Lu

“…The model is solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model reflects the influence of multisource data sharing and fault conditions and satisfies the origin-destination coverage constraint to achieve the multiobjective optimization of traffic sensor layout.…”
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Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM by Huang Ying, Li Ximei, Ye Renhu, Wang Rui

“…Then the PE value with component (C-PE value) is calculated to obtain the multi-scale characteristics of vibration signals. Then the genetic algorithm is used to optimize the least squares support vector machine (LSSVM). …”
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An UAV-Assisted Edge Computing Resource Allocation Strategy for 5G Communication in IoT Environment by Hao Liu

“…Based on the optimization of the UAV trajectory, communication scheduling, and the energy consumption model of the UAV, the problem of the total computational cost minimization is formulated. Then, the genetic algorithm is improved by introducing a penalty function to solve this problem, in which selection, crossover, and mutation operations are iterated to obtain the optimal allocation strategy for computational resources. …”
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Wakeup strategy based on multi-objective optimization for fixed relay nodes by Xue-bin MA, Ai-li LI, Xiao-juan ZHANG

“…In order to deal with the “tidal effect” when people move in the city and solve the problem of high energy consumption of fixed relay nodes in opportunistic networks,a wakeup strategy of multi-objective optimization was proposed,which made use of the message forward ability and energy consumption of fixed relay nodes.This strategy used energy efficiency as the indicator to make the nodes awake,and deployed a network revenue-energy consumption model to resolve the contradiction between energy consumption and message forward ability.As the selection problem of awake relay nodes was a NP-hard problem,genetic algorithm was used to select proper fixed relay nodes to keep awake.In this process,selection operator was improved to make the algorithm converge to solution space quickly.Experiments show that the proposed wakeup strategy can guarantee the successful rate of message transmission and improve the average message forwarding capabilities of fixed relay nodes by consuming a unit energy.…”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…The defuzzification used is the Mean of Max (MOM). Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2. …”
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OPTIMISASI PARAMETRIK FASAD BILAH HORIZONTAL TERHADAP PENCAHAYAAN ALAMI DENGAN METRIK USEFUL DAYLIGHT ILLUMINANCE (UDI) DI KOTA LHOKSEUMAWE by Atthaillah Atthaillah, Rizki Armanto Mangkuto

“…Metode optimasi dengan Genetic Algorithm (GA) dengan Galapagos digunakan untuk mendapatkan solusi-solusi rotasi dan lebar bilah yang optimal terhadap pencahayaan alami.  …”
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