FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR by WANG JinDong, BU QingChao, ZHAO HaiYang, ZHANG HongBin

“…Reciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The method use resonance sparse decomposition to find the low resonance component which its kurtosis is maximum, optimize Q-factor with genetic algorithm and particle swarm optimization to get the optimal Q-factor;then use resonance sparse decomposition to decompose reciprocating compressor vibration signal by the optimal Q-factor;the result shows that this method can diagnose the oversized bearing clearance fault effectively.…”
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Spectrum allocation of cognitive wireless network based on immune clone selection optimization by CHAI Zheng-yi1, LIU Fang1

“…The spectrum sensing process was described based on WRAN.By analyzing physical connection of cognitive wireless network,the mathematical model of spectrum allocation was given,and then it was converted into a constrained optimization problem,whose goal was to maximum the profit of network.An immune clone selection algorithm was proposed to solve the problem,and the algorithm convergent with probability 1 was proved.Finally,the simulation experiments were done to test the algorithm.The results showed that compared with CSGC algorithm（color-sensitive graph coloring） and GA-SA（spectrum allocation based on genetic algorithm）,this algorithm could achieve maximization of network profits.Meanwhile,the system simulation results based on WRAN confirmed its effectiveness.…”
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Analysis and Optimization on Workspace of 2-PrRS-PR(P)S Parallel Metamorphic Mechanism by Ma Kun, Ma Hongwei, Tian Haibo

“…Aiming at the maximized workspace volume，the optimized structural parameters is obtained by Genetic Algorithm and single variable analysis.…”
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A four-primary-color micro-LED display with wide color gamut, low blue light hazard, and promise to improve working efficiency in the working conditions by Peiyu Sun, Min Min, Qingfeng Wu, Weijun Huang, Qing Xiao, Wei Xiao, Chaodan Zheng

“…In this study, we use genetic algorithm to search the displays satisfying the demands of health, wide color gamut, and promise to improve working efficiency in the working conditions, when the correlated color temperature is around 6500 K. …”
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Structure Design and Finite Element Analysis of a Rope Traction Upper Limb Rehabilitation Robot by Yu Junwei, Xu Hongbin, Xu Taojin, Zheng Chengjie, Lu Shiqing

“…To ensure the safety and stability of the rehabilitation robot,the static strength analysis and modal analysis of the structure of the upper limb rehabilitative robot is carried out by using ANSYS Workbench.Moreover,the multi-objective genetic algorithm is applied to the lightweight optimization design of the support frame. …”
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TOOL PATH OPTIMIZATION WITH HIGH EFFICIENCY AND LOW ENERGY CONSUMPTION IN BALL-END CUTTER MILLING BASED ON HYBRID ALGORITHM by WANG YongBing, LI Li, ZHAO JunHua, Deng XingGuo

“…The crossover,mutation and reversal operations of genetic algorithm are introduced to improve the particle swarm optimization algorithm. …”
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Research on Optimization of Customized Bus Routes Based on Uncertainty Theory by Zi Sang, Bing Zhang, Yunqiang Xue, Hongzhi Guan

“…In this study, the uncertainty theory is introduced into the optimization problem of a customized bus route, and an uncertain customized bus route optimization model is established, which aims at the minimizing the total mileage of vehicle operation. An improved genetic algorithm is used to solve the model, whose feasibility is verified by a case study. …”
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Design and Analysis of a Thinned Phased Array Antenna for 5G Wireless Applications by Cheon-Bong Moon, Jin-Woo Jeong, Kyu-Hyun Nam, Zhou Xu, Jun-Seok Park

“…For uniform spacing array antenna, a certain number of elements can be removed, while maintaining a desired radiation pattern using genetic algorithm optimization. Parameters such as beamwidth and side lobe level are evaluated for proposed thinned array antenna by comparison with those obtained for different types of uniform array antennas. …”
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Parameter Optimization of Single-Diode Model of Photovoltaic Cell Using Memetic Algorithm by Yourim Yoon, Zong Woo Geem

“…First, 10 single algorithms were considered including genetic algorithm, simulated annealing, particle swarm optimization, harmony search, differential evolution, cuckoo search, least squares method, and pattern search; then their final solutions were used as initial vectors for generalized reduced gradient technique. …”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore, Osamah Ibrahim Khalaf, Sarita Simaiya, Carlos Andrés Tavera Romero, Ghaida Muttashar Abdulsahib, Poongodi M, Dinesh Kumar

“…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…Inspired by previous studies, two multi objective metaheuristic algorithms based on the genetic algorithm is used to solve the large-scale problems. …”
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Smart Approach for Botnet Detection Based on Network Traffic Analysis by Alaa Obeidat, Rola Yaqbeh

“…In this article, we suggest a method for identifying the behavior of data traffic using machine learning classifiers including genetic algorithm to detect botnet activities. By categorizing behavior based on time slots, we investigate the viability of detecting botnet behavior without seeing a whole network data flow. …”
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Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network by Xia DENG, Miaomiao HAO, Wucheng LIN

“…The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC) was proposed, which combined genetic algorithm with artificial bee colony algorithm to avoid local optimization.Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm, the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio.…”
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Optimum Arrangement of Reactive Power Sources While Using Genetic Algori by A. M. Gashimov, R. N. Rakhmanov, S. T. Rakhmanov

“…The proposed methodology is based on application of a genetic algorithm. Total expenses for installation of capacitor banks, their operation and also expenses related to electric power losses are considered as an efficiency function which is used for determination of places with optimum values of capacitor bank power. …”
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The Definition Method and Optimization of Atomic Strain Tensors for Nuclear Power Engineering Materials by Xiangguo Zeng, Ying Sheng, Huayan Chen, Tixin Han

“…To guarantee the reliability of subsequent parameters identification result and lighten the calculation workload of parameters identification, an overall analysis method of parameter sensitivity and an advanced genetic algorithm are also developed.…”
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A Practical Model for Inbound Container Distribution Organization in Rail-Water Transhipping Terminal by Jiahao Zhao, Xiaoning Zhu, Yong Liu, Li Wang, Baicheng Yan

“…Additionally, a genetic algorithm (GA) was developed and the optimization results were evaluated, which showed that both of the model and the algorithm were effective.…”
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Optimum Design of truss structures considering nonlinear analysis and dynamic loading using metaheuristic algorithms by Bárbara Scardini Domingues, Marcos Antônio Campos Rodrigues, Élcio Cassimiro Alves

“…In this research, the authors investigated the optimization of trusses performing a geometric nonlinear analysis under dynamic loading, using two different metaheuristic algorithms: the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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LEO satellite constellation design with multi-QoS guarantee for non-terrestrial network by Ruyan WANG, Xianyi YE, Peng HE, Yaping CUI, Dapeng WU, Fedotov Alexander

“…LEO satellite constellation (LSC) offers seamless and fast connectivity for non-terrestrial network (NTN).However, the lack of QoS guarantees for users significantly impacts the performance of the NTN system.Considering multi-QoS metrics, a capacity and downlink budget model for LSC was established, and subsequently, the establishment of inter-satellite links was framed as a link budget issue for the QoS guarantee.The non-dominated sorting genetic algorithm (INSGA-II) with improved crossover and mutation operators was proposed to optimize LSC, aiming to maximize coverage and system capacity while minimizing constellation costs.The numerical results demonstrate that the designed LSC exhibits comparable or superior performance to Telesat and Kepler, and its scale is only 64% of the Kepler system.…”
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Smooth Trajectory Planning for Robot under Multiple Constraint by Liu Jing, Zhang Ming

“…The time optimal trajectory planning problem which consider kinematics and dynamics constraints are transformed into a two-variable optimization problem with above trajectory planning approach,the time optimal trajectory is obtained by genetic algorithm. The effectiveness of the planning algorithm is verified by an experiment for a two degree hybrid manipulator. …”
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Intelligent Prediction of Sieving Efficiency in Vibrating Screens by Bin Zhang, Jinke Gong, Wenhua Yuan, Jun Fu, Yi Huang

“…Based on the experiments, least square support vector machine (LS-SVM) was established to predict the sieving efficiency, and adaptive genetic algorithm and cross-validation algorithm were used to optimize the parameters in LS-SVM. …”
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