Combination Forecast of Economic Chaos Based on Improved Genetic Algorithm by Yankun Yang

“…Finally, the decision tree model and the BP neural network model optimized by the improved genetic algorithm are combined, and the combined model is optimized by the improved GA. …”
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An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning by Fernando Mattioli, Daniel Caetano, Alexandre Cardoso, Eduardo Naves, Edgard Lamounier

“…In this sense, this work presents the use of genetic algorithms in deep neural networks topology selection. …”
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Research on Fundus Image Mosaic Method Based on Genetic Algorithm by Shuang Wang

“…The similarity of the image to be spliced is a feature, and the genetic algorithm is used to solve the optimal parameters to achieve the maximum similarity. …”
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Research on parallel partheno genetic algorithm based on the immune programming by XING Xiao-shuai, HUO Bing-peng

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Multi-Objective Genetic Algorithm for Task Assignment on Heterogeneous Nodes by Carolina Blanch Perez del Notario, Rogier Baert, Maja D'Hondt

“…This paper presents a task assignment strategy based on genetic algorithms in which multiple and conflicting objectives are simultaneously optimized. …”
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Study on satellite adaptive nulling antennas with hybrid genetic algorithm by JIN Jun1, WANG Hua-li1, DUAN Tao2, LIU Yun-zhi1

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Multiobjective Synthesis of Linear Arrays by Using an Improved Genetic Algorithm by Bo Yang

“…In this paper, an improved genetic algorithm with dynamic weight vector (IGA-DWV) is proposed for the pattern synthesis of a linear array. …”
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MOTOR TOLERANCE OPTIMIZATION DESIGN BASED ON IMPROVED GENETIC ALGORITHM by ZHANG YongLiang, CHEN Xu, YAO JiaSheng, ZHANG ShuaiShuai

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Multiobjective Construction Optimization Model Based on Quantum Genetic Algorithm by Wei He, Yichao Shi

“…In addition, the multiconstraint and multitarget construction optimization model with minimum period and cost was established based on the quantum genetic algorithm. In order to improve the adaptability of the quantum genetic algorithm for the multiobjective model, the encoding form, quantum revolving door, and genetic flow of the algorithm were reconstructed. …”
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Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation by J. A. Tenreiro Machado

“…The paper formulates a genetic algorithm that evolves two types of objects in a plane. …”
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Retracted: Font Design in Visual Communication Design of Genetic Algorithm by Emergency Medicine International

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Network anomaly detection based on TCM-KNN and genetic algorithm by LI Yang1, FANG Bin-xing1, GUO Li1, TIAN Zhi-hong1, ZHANG Yong-zheng1, JIANG Wei1

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Research on the Optimization of Agricultural Industry Structure Based on Genetic Algorithm by Lingxiao Liu

“…By examining the water balance of submerged irrigation, an optimization model of the agricultural industry structure was developed using genetic algorithms, and the model was solved using an accelerated genetic algorithm. …”
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A New Adaptive Hungarian Mating Scheme in Genetic Algorithms by Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung-Ro Moon

“…In genetic algorithms, selection or mating scheme is one of the important operations. …”
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OPTIMIZATION METHOD OF DYNAMIC LOAD IDENTIFICATION BASED ON GENETIC ALGORITHM by XI ZhuYou, YAN YunJu, CHANG XiaoTong

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An Improved Directed Crossover Genetic Algorithm Based on Multilayer Mutation by Feng Xie, Quansheng Sun, Yinfeng Zhao, Haibo Du

“…The experimental results show that the improved genetic algorithm has better convergence speed and search accuracy.…”
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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

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A　Genetic　Algorithm　for　Routing　in　Packet-Switched　Communication　Networks by He Cuihong Ou Yishan Li Xianji (Guangdong Institute of Technology, Guangzhou 510090)

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Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences by Misato Tanaka, Yasunari Sasaki, Mitsunori Miki, Tomoyuki Hiroyasu

“…We apply an interactive genetic algorithm (iGA) to generate product recommendations. iGAs search for a single optimum point based on a user’s Kansei through the interaction between the user and machine. …”
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Partially adaptive baeam-forming maethods based on genetic algorithms by JIN Jun1, WANG Hua-li1, LIU Miao2

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