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基于自适应免疫进化算法的多用户检;  本文采用自适应免疫进化算法来解决多用户检测问题. 通过计算机仿真,无论是抗多址干 扰还是抑制远近效应,此方法都明显优于传统检测方法,并且具有与最优检测器接近的误码率性能.-based on adaptive immune evolutionary algorithm multi-user location; In this paper, adaptive immune evolutionary algorithm to solve the problem of multi-user detection. through computer simulation, both anti-MAI or near-far effects, this method has been clearly superior to the traditional detection method and have the optimal detector close to the bit error rate performance.
Date : 2025-12-24 Size : 184kb User : beer

optimal relay location for cooperative wireless networks
Date : 2025-12-24 Size : 1.88mb User : KIRAN KUMAR GURRALA

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一个LMS算法的具体设计,有性能表面的图,等值线图,最佳权值的位置,误差和迭代次数的图-Location specific design an LMS algorithm, the performance surface maps, contour maps, optimal weights, error and the number of iterations Figure
Date : 2025-12-24 Size : 1kb User : 韩鑫

In this paper optimal location and capacity of Unified Power Flow Controller to improve the power system stability using hybrid technique composed of ABC-GSA algorithms is proposed. Here, the maximum power loss bus is identified as the most suitable location for connecting the UPFC under generator outage conditions. The optimum location has been determined using the Artificial Bees Colony (ABC) algorithm. Depending on the violated power flow quantities the Gravitational Search Algorithm (GSA) optimize the required capacity of the UPFC to recover the initial stable operating condition. The proposed work is implemented in the MATLAB platform and the performance is analyzed by comparison with individual algorithms ABC and GSA. The comparison results demonstrate the superiority of the proposed Hybrid approach and confirm its potential to solve the problem.
Date : 2025-12-24 Size : 465kb User : youcefwx
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