MULTI-PARAMETER OPTIMIZATION DESIGN OF MINING TRUCK’S CAB BASED ON ORTHOGONAL EXPERIMENTAL by LI WeiPing, FENG ZiNong, SHAN XiLe, KANG Jin

“…On the basis of these data, the design parameters which had more important influence were chosen as optimization variables, an approximate model between design variables and response was built by using TPS-HDMR, then get the optimized solutions by using NSGA-II genetic algorithm, The optimized results was verified. …”
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An Investigation on Gas Lift Performance Curve in an Oil-Producing Well by Deni Saepudin, Edy Soewono, Kuntjoro Adji Sidarto, Agus Yodi Gunawan, Septoratno Siregar, Pudjo Sukarno

“…It is also constructed here a numerical scheme based on genetic algorithm to compute the optimum oil production.…”
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Identification Method of Dynamic Parameters of Distribution Network Lines by Bin Li, Jiayang Ma, Ke Hu, Ye Hai Jiang, Hao Jiao, Jinming Chen

“…The experimental data show that the method has some antipower noise ability, and the identification accuracy of this method is better than that of the genetic algorithm and random search algorithm.…”
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A Novel Algorithm of Quantum Random Walk in Server Traffic Control and Task Scheduling by Dong Yumin, Xiao Shufen

“…In the end of the paper, we compare the quantum random walk optimization method with GA (genetic algorithm), ACO (ant colony optimization), and SAA (simulated annealing algorithm). …”
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Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit by Wenxin Li, Qiyuan Peng, Qinlin Li, Chao Wen, Yongxiang Zhang, Javad Lessan

“…We apply a fuzzy multiobjective optimization and a nondominated sorting genetic algorithm II to solve the optimization problem and characterize the trade-off between the conflicting objective functions under different types of distances. …”
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Research on Fault Feature Extraction of Hydropower Units Based on Adaptive Stochastic Resonance and Fourier Decomposition Method by Yan Ren, Jin Huang, Lei-Ming Hu, Hong-Ping Chen, Xiao-Kai Li

“…In order to effectively extract the characteristics of nonstationary vibration signals from hydropower units under noise interference, an adaptive stochastic resonance and Fourier decomposition method (FDM) based on genetic algorithm (GA) are proposed in this paper. Firstly, GA is used to optimize the resonance parameters so that the signal can reach the optimal resonance and the signal-to-noise ratio (SNR) can be improved. …”
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Bus Route Design Problem for Rural Tourism Objectives: A Multiobjective Approach by Juchen Li, Xiucheng Guo, Ruiying Lu, Pei Liu

“…A solution approach is put forward based on the initial solution set generation procedure and strengthens the elitist genetic algorithm. Finally, the bus network in a rural tourism destination of Nanjing is taken as the case study to validate the feasibility and efficiency of the proposed model.…”
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Random Target Localization for an Upper Limb Prosthesis by Xinglei Zhang, Binghui Fan, Chuanjiang Wang, Xiaolin Cheng, Hongguang Feng, Zhaohui Tian

“…Secondly, an error correction algorithm where a multipopulation genetic algorithm (MPGA) optimizes backpropagation neural network (BPNN) is utilized to improve the accuracy of ILA. …”
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Investigation on SIW Slot Antenna Array with Beam Scanning Ability by Yanfei Li, Yang Li

“…A sparse substrate integrated waveguide (SIW) slot antenna array and its application on phase scanning are studied in this paper. The genetic algorithm is used to optimize the best arrangement for 8-element and 7-element sparse arrays over an aperture of 4.5λ0. …”
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Dynamic Community in static social networks using the gray wolf optimizer algorithm by Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari

“…Gray Wolf Optimizer algorithm is less likely to be trapped than other optimization algorithms such as the genetic algorithm and the particle swarm algorithm. Finally, the results of the experiments showed that the algorithm is better than other algorithms on average.…”
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First-Train Timetable Synchronization in Metro Networks under Origin-Destination Demand Conditions by Hetian Chai, Xiaopeng Tian, Huimin Niu

“…Then, the Nondominated Sorted Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model, and an improved technique is elaborated to reduce the alternative route choices. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…In order to evaluate the applicability and convergence of the algorithm, it was compared with genetic algorithm and simulated annealing algorithm. The results show that proposed algorithm outperforms other schemes in this data-intensive service deployment problem.…”
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QoS modeling and evaluation of mobile application service based on scene by Yan-zhi HU, Feng-bin ZHANG, Zhi-chun GAN, Tian TIAN, Cai-hua YIN

“…The current static QoS model can not reflect the QoS time varying and location correlation of mobile application service.An QoS model was presented based on scene for mobile applications service.The QoS index system of mobile application service was defined and the QoS value matrix was constructed.Further,three types of assessment problems were proposed,which were QoS overall assessment,QoS assessment of specific region or specific time periods,and QoS assessment of hot region and busy time.By using genetic algorithm and data clustering algorithm,the location and time of the two scene conditions were quantified,which combine the region division of service request location density and the time division of service request frequency.According to the limiting conditions,QoS value matrix was reconstructed,and the service evaluation method was introduced based on the statistical analysis of the matrix.Finally,the normalized evaluation process and application framework of QoS were given.…”
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The Optimization of Transportation Costs in Logistics Enterprises with Time-Window Constraints by Qingyou Yan, Qian Zhang

“…This multiobjective optimization is solved by using a modified genetic algorithm approach. The output of the algorithm is a set of optimal solutions that represent the trade-off between total transportation cost and the fleet size required to service customers. …”
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Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. Finally, the support vector machine(SVM) classification model was employed to verify performance and reliability of both algorithms. …”
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Research on the multiuser MIMO linear cooperative spectrum sensing in cognitive radio networks by Yong-qiang HEI, Xiao-hui LI, Wen-tao LI

“…The multiuser MIMO based linear cooperative spectrum sensing problem was investigated in cognitive radio system to improve the reliability of spectrum sensing.Both the local spectrum detecting strategy and global spectrum detecting strategy for multiuser MIMO based linear cooperative spectrum sensing system were derived.Then the optimization model that the different weights assigned on the receive signals of each user at the fusion center for global decision were optimized to maximize the detection probability given a targeted probability of false alarm is established.Furthermore,genetic algorithm (GA) was introduced to find the optimal weight vector of the above-mentioned cooperative spectrum sensing problem,with the purpose of reducing the sensing time in the spectrum sensing process.The simulation results show that,the reliability of spectrum sensing in cooperative spectrum sensing system can be efficiently enhanced with multiple antennas.Besides,the proposed GA method is efficient and stable,and achieves better detection performance when compared with the existing methods.…”
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Kinetics of Austenite Formation in a Medium-Carbon, Low-Alloy Steel with an Initial Martensite Microstructure: Influence of Prior Austenite Grain Size by Navneeth Rajakrishnan, Morteza Sadeghifar, Pinaki Bhattacharjee, Henri Champliaud, Mohammad Jahazi

“…The differences in austenite formation kinetics as a function of prior austenite grain size were quantified and modeled in the framework of diffusion-controlled nucleation and growth theories using the genetic algorithm optimization.…”
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Vibroacoustic Optimization of Stiffening Ribs and Damping Material Distribution on Sheet Metal Parts by M. Carfagni, P. Citti, L. Governi, M. Pierini

“…The proposed method is based on a Genetic Algorithm (G.A.) procedure which takes into account both the vibroacoustic performance and the weight and cost reduction. …”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…For this purpose, we applied genetic algorithm to search for an optimal weight vector on which classifier ensemble is expected to give the best accuracy. …”
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Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method by Wenlong Tian, Zhaoyong Mao, Fuliang Zhao, Zhicao Zhao

“…Then, based on the CFD data, a back-propagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet. Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag. …”
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