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Showing 521 - 540 results of 3,277 for search '(improved OR improve) (((coot OR cost) OR most) OR root) optimization algorithm', query time: 0.38s Refine Results
  1. 521

    Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System by Monsurat Omolara Balogun, Latifat Adeola Odeniyi, Elijah Olusola Omidiora, Stephen Olatunde Olabiyisi, Adeleye Samuel Falohun

    Published 2023-04-01
    “…Hence, this work developed an Optimized Negative Selection Algorithm (ONSA) for image classification in biometric systems. …”
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    Article
  2. 522

    Optimized Intelligent Localization Through Mathematical Modeling and Crow Search Algorithms by Tamer Ramadan Badawy, Nesreen I. Ziedan

    Published 2025-08-01
    “…The modified CSA iteratively improves upon this estimate by emulating the natural behavior of crows, updating its variables to converge on the optimal position. …”
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    Article
  3. 523

    Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing by Mohammad Haris, Swaleha Zubair

    Published 2022-11-01
    “…The hybridization process updates the search space of Harris Hawk Optimization (HHO) by utilizing the Manta Ray Forging Optimization (MRFO) algorithm by considering the cost, response time, and resource utilization etc. …”
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    Article
  4. 524

    Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts by Jie Yu, Chunhong Qi

    Published 2025-01-01
    “…The model is designed to capture complex emotional nuances and themes in literature by processing text data from both forward and backward directions, while the attention mechanism enables the model to focus on the most important sections of the text. Hyperparameter optimization is performed using the Improved Particle Swarm Optimization (IPSO) algorithm to fine-tune the model for efficient sentiment extraction. …”
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    Article
  5. 525

    Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems by Shang-Kuan Chen, Gen-Han Wu, Yu-Hsuan Wu

    Published 2025-05-01
    “…The results indicate that MBDE2 and IHDE-BPSO3 outperform the original differential evolution algorithm and its extended variants, consistently achieving optimal solutions in most cases. …”
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    Article
  6. 526

    Development of scientific and methodological approaches to improve the efficiency of quarry transport operation by A. N. Novikov, I. A. Novikov, N. A. Zagorodnij, A. S. Semykina

    Published 2020-12-01
    “…To manage the transportation process at GOK, it is required to use improved methods and methods for optimizing transport flows to reduce costs in the system “quarry-warehouse / processing plantproduction”, taking into account the dynamics of processes. …”
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    Article
  7. 527

    Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms by E. S. Piskun, D. V. Nuansengsy, E. N. Kotsko

    Published 2024-12-01
    “…The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. …”
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    Article
  8. 528

    Optimization of Railway Transportation Planning by Combining TST Model and Genetic Algorithm by Wei Cao, Fan Chen

    Published 2025-01-01
    “…Compared to traditional methods, it significantly improves transportation efficiency and flexibility in multi - objective optimization, offering an effective solution for railway transportation planning under dynamic demands and valuable references for logistics system scheduling optimization.…”
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    Article
  9. 529

    A Vehicle Path Planning Algorithm: QDDG-RRT by Ruixin Zhang, Qing Xu, Kai Sun, Yi Liu, Ximming Zhu, Guo Zhang, Xiang Cheng

    Published 2025-01-01
    “…Key improvements include dynamically constraining the search space using a direction guidance strategy, employing steering techniques to avoid obstacles, optimizing path length to minimize global cost, and refining trajectories using second-order Bessel curves. …”
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    Article
  10. 530

    Distributed Heuristic Algorithm for Migration and Replication of Self-organized Services in Future Networks by Manar AL-jabr, Ali Diab, Jomana AL-Diab

    Published 2022-12-01
    “…It was proved that our proposed algorithm achieves an improved performance by meeting the services within a shorter time, a smaller bandwidth, and thus a lower communication cost. …”
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    Article
  11. 531

    First aid for generalized seizures: modern approaches and opportunities for improvement by А. А. Birkun, L. I. Dezhurny

    Published 2023-07-01
    “…Since immediate arrival of emergency medical service (EMS) specialists to a victim is impossible in most cases, first aid (FA) provision by immediate witnesses of seizures is of paramount importance for preventing death.Objective: to analyze modern principles and approaches to FA provision for generalized seizures, to study existing organizational framework and to identify areas for improving the organization of FA provision for seizures, as well as to develop a draft domestic algorithm for distant consultation of untrained witnesses by emergency dispatchers on FA provision in generalized seizures.Material and methods. …”
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  12. 532

    An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

    Published 2025-08-01
    “…In this study, we propose an enhanced evolutionary algorithm tailored for global optimization and oil and gas production improvement. …”
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    Article
  13. 533

    Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

    Published 2025-08-01
    “…To alleviate such an effect, this study proposes a gene selection approach based on the parameter-free and large-scale manta ray foraging optimization algorithm. Given the dimensional disparities and statistical relationship distributions of the six investigated datasets, in addition to four evaluated machine learning classifiers; the proposed Sign Random Mutation and Best Rank enhancements that substantially improved MRFO’s exploration and exploitation contributed to efficient identification of relevant genes and to machine learning improved prediction accuracy.…”
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  14. 534

    KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN by Jingting Xu, Hua Qu, Jihong Zhao

    Published 2015-06-01
    “…N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration,and the problem was abstracted as a multi-objective optimization problem. …”
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  15. 535
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  17. 537

    Improvement of Methodological Tools for Business Analysis of the Effective Company’s Performance by N. S . Plaskova

    Published 2022-04-01
    “…The purpose of the study is to develop methods of analysis and algorithms for calculating the most important characteristics of assessing the performance of economic entities for internal management and external stakeholders based on a complementary approach to the use of classical methods of forming a piece of information and analytical base by clarifying the values of the indicators used in financial and management reporting and supplementing the list of analytical indicators. …”
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    Article
  18. 538

    An Operation Plan Optimization Model for Integrated Customized and Conventional Bus Services Based on Cost Analysis by Xi Lu, Junru Han, Peng Xu, Haode Liu, Xumei Chen

    Published 2022-01-01
    “…A mixed-integer planning model and a hybrid genetic algorithm are used to optimize the operation plan for specific travel demands and supply capacities. …”
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  19. 539
  20. 540

    Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm by Jiongkang Ren, Shisong Wang, Keqi Ren

    Published 2025-02-01
    “…The optimized grinding process parameters reduce the grinding time by 17.41%, improve the grinding surface quality by 4.46%, and reduce the grinding cost by 1.12% compared with the conventional machining scheme. …”
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    Article