بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data algorithms » jaya algorithm (توسيع البحث)
case finding » cam binding (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data algorithms » jaya algorithm (توسيع البحث)
case finding » cam binding (توسيع البحث)
element » elements (توسيع البحث)
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21
Incremental Genetic Algorithm
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 -
22
How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
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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23
A kernelization algorithm for d-Hitting Set
منشور في 2010"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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24
A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates
منشور في 2024"…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …"
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25
Natural optimization algorithms for optimal regression testing
منشور في 1997"…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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conferenceObject -
26
Incremental & classical genetic algorithm. (c2001)
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masterThesis -
27
A hybrid genetic algorithm for task allocation in multicomputers
منشور في 2018"…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …"
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conferenceObject -
28
Simulated Annealing and Genetic Algorithms for Optimal Regression Testing
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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29
A genetic algorithm for corrective retesting. (c1995)
منشور في 1995احصل على النص الكامل
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masterThesis -
30
Fuzzy simulated evolution algorithm for topology design of campusnetworks
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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article -
31
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
منشور في 2023"…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …"
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32
Fixed-parameter algorithms for hitting set problems. (c2006)
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masterThesis -
33
A fast exact sequential algorithm for the partial digest problem
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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34
A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
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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35
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
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conferenceObject -
36
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…This paper presents efforts to solve the multi-track measurement assignment problem in drone detection and tracking. In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …"
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37
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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masterThesis -
38
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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39
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
40
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…The paper concludes with examples illustrating the strength and limitations of the proposed algorithm in the cases of ~1! loosely versus tightly constrained layouts with equal levels of interaction between facilities; ~2! …"
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