A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem by Bingyu Song, Feng Yao, Yuning Chen, Yingguo Chen, Yingwu Chen

“…A schedule generation algorithm (SGA) is proposed to assign the downlink time window for each scheduled request according to a given request permutation. A hybrid genetic algorithm (HGA) combined with neighborhood search is proposed to optimize the downlink request permutation with the purpose of maximizing the utility function. …”
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Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses by Jing Xu

“…Research shows that the improved genetic algorithm has improved average fitness value and time compared with traditional genetic algorithm. …”
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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

“…In this paper, we present a Genetic Algorithm Optimized Generative Adversarial Network (hereinafter referred to as GAGAN), which is designed for the effective training of discrete generative adversarial networks. …”
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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

Subjects: “…Genetic algorithm…”
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Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm by Noor Gul, Ijaz Mansoor Qureshi, Atif Elahi, Imtiaz Rasool

“…In this paper, the FC takes a global decision based on the hard binary decisions received from all SUs. Genetic algorithm (GA) using one-to-many neighbor distance along with z-score as a fitness function is used for the identification of accurate sensing information in the presence of MUs. …”
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Retracted: Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation by International Transactions on Electrical Energy Systems

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Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm by Yue Chen, Jiwen Cui, Xun Sun, Shihai Cui

“…In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the genetic algorithm. Firstly, a spatial location propagation model is developed to accurately predict the spatial position of each rotor after assembly. …”
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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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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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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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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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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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