Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…These input optimization algorithms are genetic algorithm (GA) and brute force algorithm (BF). …”
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Optimization and Analysis of Double-circular-arc Harmonic Gear based on Genetic Algorithm by Zhonglong Luo, Xiaochuan Peng

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Structural edge damage detection based on wavelet transform and immune genetic algorithm by Jianwei Zhao, Zhuo Zhou, Deqing Guan, Liang Gong

“…Additionally, an immune-genetic algorithm, integrating genetic and immune algorithms, is employed to overcome limitations of traditional intelligent algorithms in damage severity identification. …”
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Optimization of Flexible Rotor for Ultrasonic Motor Based on Response Surface and Genetic Algorithm by Bo Chen, Jiyue Yang, Haoyu Tang, Yahang Wu, Haoran Zhang

“…This paper presents an optimization method that combines the Kriging response surface model with a multi-objective genetic algorithm (MOGA). Drawing on the existing rotor structure, a novel rotor design is proposed to match the improved TRUM60 stator. …”
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Text Knowledge Acquisition Method of Collaborative Product Design Based on Genetic Algorithm by Chongyuan Li, Mengmeng Yang

“…According to the operation process of the genetic algorithm, the chromosomes of clustered text are constructed and encoded and the initial population is obtained. …”
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Satellite Constellation Orbit Design Optimization with Combined Genetic Algorithm and Semianalytical Approach by Tania Savitri, Youngjoo Kim, Sujang Jo, Hyochoong Bang

“…A global optimization method, Genetic Algorithm (GA), is chosen due to its ability to locate a global optimum solution for nonlinear multiobjective problems. …”
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RESEARCH ON DYNAMIC PERFORMANCE OF GEAR SYSTEM BASED ON ORTHOGONAL DESIGN AND GENETIC ALGORITHM by WU ZhengWei, WU XunCheng, ZHANG JueCheng

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NONLINEAR BLIND SOURCE SEPARATION OF MECHANICAL FAULT BASED ON QUANTUM GENETIC ALGORITHM by PI HaiYu, LI ZhiNong, XIAO YaoXian

Subjects: “…Quantum genetic algorithm（QGA）…”
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Retracted: Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses by null Complexity

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Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm by Arebu Dejen, Murad Ridwan, Jeevani Jayasinghe, Jaume Anguera

“…The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimized the patch geometry using a binary-coded genetic algorithm. The algorithm iteratively creates a new shape of the path surface, evaluates the cost function, and returns the best-fitted geometry based on the formulated fitness function. …”
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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing by Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen

“…Genetic algorithm is easy to fall into local optimal solution. …”
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Research on multi-AP joint transmission scheme based on improved genetic algorithm by Man LIU, Xuming FANG

“…In order to solve the problem that overlapping basic service set (OBSS) users are subject to serious co-frequency interference in the dense Wi-Fi network, resulting in low signal to interference plus noise ratio (SINR) of received signals, low data transmission rate or inability to transmit, a multi-access point (AP) joint transmission (JT) scheme based on improved genetic algorithm (IGA) selection of AP coordination set was proposed.Firstly, the SINR threshold method was used to divide all station (STA) in the system into central users and edge users, and the JT scheme was adopted for edge users.Then, with the goal of maximizing the throughput of edge users, IGA was proposed to determine the appropriate coordinated AP for each edge user to form its own AP coordination set, and maximize the potential gain of JT technology.The simulation results show that the proposed scheme can effectively reduce the co-frequency interference between BSS and improve the performance and throughput of BSS edge users in dense network.…”
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Adaptive Heterogeneous Autoregressive Models of Realized Volatility Based on a Genetic Algorithm by Hui Qu, Ping Ji

“…We build on the HAR models and propose a new framework, adaptive heterogeneous autoregressive (AHAR) models, whose time horizon structures are optimized by a genetic algorithm. Our models can be applied to markets with different heterogeneous structures, and their time horizon structures can be adjusted adaptively as the market's heterogeneous structure varies. …”
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Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms by Zhengchao Xie, W. Steve Shepard Jr., Keith A. Woodbury

“…To demonstrate the applicability of genetic algorithms (GAs), the approach is applied to a simple viscoelastically damped constrained-layer beam. …”
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Solving degree-constrained multicast routing problem by a heuristic genetic algorithm by PAN Yun1, WANG Xing-gang2, FENG Yan-li3, YU Zhen-wei4

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Parameter Optimization and Experimental Verification of V-belt CVT based on Genetic Algorithm by Tian Zhewen, Zuo Xiaochao, Li Xiaoning

“…A V-belt CVT mechanical model is established， and the CVT speed regulation characteristics are analyzed and simulated in Matlab. The genetic algorithm is used to optimize the key parameters of CVT with the aim of improving the power. …”
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Time-optimal Trajectory Planning of 6-DOF Robot based on Genetic Algorithm by He Jianli, Zhu Longying, Cheng Lei, Yin Jiucheng

“…Finally,the time optimal trajectory meeting the kinematics constraints and torque smoothing is obtained by using genetic algorithm,based on the optimization target of robot joint trajectory optimal running time. …”
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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms by Yi-Chung Hu

“…Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm. Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval. …”
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E-Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm by Dong Yang, Peijian Wu

“…For the first time, we used a hybrid genetic algorithm to optimize the e-commerce logistics path, and the optimized results are more reasonable than other algorithms.…”
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Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis by Guifeng Wang, Lu-ming Zhang, Yichuan Sheng

“…Experimental inference have shown that the BAS-GA algorithm rule achieves the optimal conclusion similar to the pseudo-annealing algorithmic program plant. Meanwhile, the genetic algorithm rule is modified ant settlement algorithm program. …”
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