يعرض 1 - 20 نتائج من 109 نتيجة بحث عن '(( case finding algorithm ) OR ((( develop tree algorithms ) OR ( element deer algorithm ))))', وقت الاستعلام: 0.13s تنقيح النتائج
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    The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …"
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    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

    منشور في 2019
    "…To show the applicability of the proposed approach, Iran’s bitumen consumption data in the period of 1991-2006 are used as a case study. Findings Production, import, export, road construction and price are considered as the input data used in the present study. …"
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    article
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    Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

    منشور في 2024
    "…The benefits of the proposed algorithms in addressing real-world issues with challenging and unknown search areas are demonstrated by the outcomes of real-world case studies. …"
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    Efficient XML Structural Similarity Detection using Sub-tree Commonalities حسب Tekli, Joe

    منشور في 2007
    "…Developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. …"
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    Incremental Genetic Algorithm حسب Mansour, Nashat

    منشور في 2006
    "…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
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    article
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    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

    منشور في 2023
    "…Typically, studies generate four segments, although the maximum number rarely exceeds twenty, and in most cases, is less than ten. Based on these findings, we propose seven key goals and three practical implications to enhance customer segmentation research and application.…"
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    Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

    منشور في 1997
    "…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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    Simulated Annealing and Genetic Algorithms for Optimal Regression Testing حسب Mansour, Nashat

    منشور في 1999
    "…The experimental results, which include a comparison with previous algorithms, show that the simulated annealing and genetic algorithms find the optimal or near-optimal number of retests within a reasonable time. …"
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    article
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    Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

    منشور في 2000
    "…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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    A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

    منشور في 2016
    "…</p><h3>Conclusion</h3><p dir="ltr">Our algorithm is a fast tool to find the exact solution for the partial digest problem. …"
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    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

    منشور في 2020
    "…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …"
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    Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr... حسب Elmahdy, Samy

    منشور في 2020
    "…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …"
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