Showing 961 - 980 results of 5,881 for search '(differential OR different) (evolution OR evaluation) algorithm', query time: 0.27s Refine Results
  1. 961
  2. 962

    How can Multi-Agents AI Systems help Reduce Biases in Trading Algorithms? by Florin GROSU

    Published 2025-05-01
    “…However, algorithmic trading is still accompanied by cognitive and algorithmic biases such as overconfidence, confirmation bias, and anchoring effects that can result in suboptimal decisions and higher levels of risk. …”
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    Article
  3. 963

    APPLYING SOME MATCHING ALGORITHMS FOR SEQUENCE IGNATURE TO ANALYZE AND DETECT ENTRIES INTO SYSTEM NETWORKS by Pham Nguyen Huy Phuong, Dang Le Nam

    Published 2013-06-01
    “…Nowadays, developing and evaluating pattern matching algorithms for the identification of network-attack has been constantly evolving. …”
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    Article
  4. 964

    A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing by Muhammad Sardaraz, Muhammad Tahir

    Published 2020-08-01
    “…The proposed algorithm is evaluated with benchmark datasets and comparative results with the standard genetic algorithm, particle swarm optimization, and specialized scheduler are presented. …”
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    Article
  5. 965

    Fuzzy operator infrared image deblurring algorithm for image blurring in dragon boat races by Xiao Tang, Yuan Shen, Genwei Zhu

    Published 2024-12-01
    “…For a blurry image with 19 pixels, the number of blurry pixels extracted by the research algorithm was 22, with a difference of 3 pixels. For a blurry image with 35 pixels, the algorithm extracted 34 blurry pixels, with a difference of 1 pixel. …”
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  6. 966

    A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling by Jian Li, Shifa Li, Pengbo He, Huankun Li

    Published 2025-07-01
    “…Using hypervolume, set coverage and inverted generational distance as evaluation metrics, the algorithm is compared with those proposed in other studies on standard instances. …”
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    Article
  7. 967

    A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization by Yongli Liu, Zhonghui Wang, Hao Chao

    Published 2021-01-01
    “…This algorithm cannot only improve clustering accuracy by considering the different importance of features and assigning each feature different weight but also can easily obtain the global optimal solution and avoid the impact of the initialization process by implementing multistrategy grey wolf optimization. …”
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    Article
  8. 968

    Algorithm for determining the degree of vulnerability of cloud computing areas based on the electre i method by S. V. Razumnikov

    Published 2025-01-01
    “…The Electre I method allows one to evaluate the relative advantages and disadvantages of different cloud computing areas based on a set of criteria. …”
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  9. 969

    Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm by Jia Guo, Deqing Guan, Jianwei Zhao

    Published 2020-01-01
    “…To evaluate the performance of IPSO, the standard particle swarm optimization algorithm with an inertia weight factor of 0.8 (0.8PSO), the genetic algorithm (GA), and the bat algorithm (BA) are also considered. …”
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  10. 970

    Assessing the Performance of DWT-PCA/SVD Face Recognition Algorithm under Multiple Constraints by Joseph Agyapong Mensah, Louis Asiedu, Felix O. Mettle, Samuel Iddi

    Published 2021-01-01
    “…Numerical evaluation of the study algorithm gave reasonably average recognition rates of 77.31% and 76.85% for left and right reconstructed face images with varying expressions, respectively. …”
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    Article
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  13. 973

    Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

    Published 2024-01-01
    “…Furthermore, 90% of the time, Wilcoxon rank-sum tests revealed statistically significant differences between the algorithm and its rivals, demonstrating its superiority. …”
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  14. 974
  15. 975

    Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm by R. Abbasi‐Kesbi, A. Nikfarjam

    Published 2017-03-01
    “…The proposed method is tested by denoising in different accelerometer signals and the results are evaluated by signal‐to‐noise ratio and power spectral density functions of the signals. …”
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    Article
  16. 976

    Computational approaches to apply the String Edit Algorithm to create accurate visual scan paths by Ricardo Palma Fraga, Ziho Kang

    Published 2024-11-01
    “… Eye movement detection algorithms (e.g., I-VT) require the selection of thresholds to identify eye fixations and saccadic movements from gaze data. …”
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    Article
  17. 977

    Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

    Published 2022-01-01
    “…To demonstrate the effectiveness of the proposed method, different sizes of representative periods are evaluated in three test systems: Garver 6-bus, IEEE-RTS 24-bus, and IEEE-118 188-bus. …”
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  18. 978

    Design of Simulation Program for Analysis of Shortest Path Algorithms in Grid-Based Path Planning by İbrahim Şanlialp, İbrahim Yandı

    Published 2025-03-01
    “…This study examines the analysis of algorithms used to find the shortest path between cells with different terrain types and elevation levels on a map comprising hexagonal cells ranging from 91 to 7651. …”
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  19. 979

    Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement by Umar Talha, Waleed Bin Yousuf, Tariq Mairaj

    Published 2025-06-01
    “…A novel amoeba-based algorithm is proposed for ICT images enhancement from sparsely acquired projections. …”
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  20. 980

    Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

    Published 2025-05-01
    “…In order to evaluate the performance of the improved algorithm, firstly, benchmark testing functions were used for experiments, and the improved algorithm was compared with existing optimization algorithms such as NGO, particle swarm optimization (PSO), sparrow search algorithm (SSA), etc. …”
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