Showing 201 - 220 results of 887 for search '"genetic algorithms"', query time: 0.09s Refine Results
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    EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty by Yaser Rouzpeykar, Roya Soltani, Mohammad Ali Afashr Kazemi

    Published 2022-01-01
    “…A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. …”
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    Article
  4. 204

    A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm by Seyed Abdonnabi Razavi, Navid Siahpolo, Mehdi Mahdavi Adeli

    Published 2020-01-01
    “…In this paper, a new and accurate correlation is attempted to predict the behavior factor (q) of EBF steel frames, under near-fault earthquakes, using the genetic algorithm (GA). For this purpose, a databank consisting of 12960 data is created. …”
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    A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm by Deliang Yu, Yanmei Li, Hao Sun, Yulong Ren, Yongming Zhang, Weigui Qi

    Published 2017-01-01
    “…The advantage of this new method is its use of a simple feature extraction method and advanced genetic algorithm to optimize the threshold and weight of the RBF neural network. …”
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    A Pseudo-Parallel Genetic Algorithm Integrating Simulated Annealing for Stochastic Location-Inventory-Routing Problem with Consideration of Returns in E-Commerce by Bailing Liu, Hui Chen, Yanhui Li, Xiang Liu

    Published 2015-01-01
    “…To solve the NP-hand problem, a pseudo-parallel genetic algorithm integrating simulated annealing (PPGASA) is proposed. …”
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    Article
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    Trace Ratio Criterion-Based Kernel Discriminant Analysis for Fault Diagnosis of Rolling Element Bearings Using Binary Immune Genetic Algorithm by Wen-An Yang, Maohua Xiao, Wei Zhou, Yu Guo, Wenhe Liao, Gang Shen

    Published 2016-01-01
    “…The binary immune genetic algorithm (BIGA) is employed to solve the trace ratio problem in TR-KDA. …”
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    Article
  12. 212

    Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

    Published 2021-01-01
    “…For the problem of a relatively discrete and nonlinear relationship of measured stress in the Yebatan Hydropower Station area, a new in situ stress inversion method called the local stress field correction (LSFC) method combining a genetic algorithm (GA), backpropagation (BP) neural network, and submodel method is proposed. …”
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  13. 213

    Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare by Bong Gu Kang, Seon Han Choi, Se Jung Kwon, Jun Hee Lee, Tag Gon Kim

    Published 2018-01-01
    “…The method consists of two processes: (1) the transformation of the SoS-based model into an integrated model using the neural network to reduce the execution time and (2) the optimization of the integrated model using the genetic algorithm with ranking and selection to decrease the number of simulation runs. …”
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    Multiobjective Optimization of Yokeless Axial-Field Flux-Switching Permanent Magnet Motor Using the Hybrid Taguchi Genetic Algorithm for Expanded Speed Range by Javad Rahmani-Fard, Saeed Hasanzadeh

    Published 2024-01-01
    “…This paper proposes a multiobjective hybrid Taguchi genetic algorithm (HTGA) to optimize the speed range of a yokeless axial-field flux-switching permanent magnet (YASA-AFFSPM) motor. …”
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    LANDMARC indoor positioning algorithm based on density-based spatial clustering of applications with noise–genetic algorithm–radial basis function neural network by Jingqiu Ren, Ke Bao, Guanghua Zhang, Li Chu, Weidang Lu

    Published 2020-02-01
    “…The threshold and weight of radial basis function neural network were optimized by genetic algorithm. With less data information, the relationship between the value of label signal strength and position coordinate could be established to improve the positioning accuracy of LANDMARC positioning algorithm. …”
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