بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
system » systems (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
system » systems (توسيع البحث)
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm
منشور في 2006"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …"
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An incremental approach for test scheduling and synthesis using genetic algorithms
منشور في 2017"…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …"
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conferenceObject -
3
Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
منشور في 2005"…To test the security of the algorithms we use a famous attack algorithm called Pollard's rho algorithm that works in the domain of natural integers. …"
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conferenceObject -
4
A hybrid distributed test generation method using deterministic and genetic algorithms
منشور في 2017"…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …"
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conferenceObject -
5
Economic load dispatch using memetic sine cosine algorithm
منشور في 2022"…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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Empirical comparison of regression test selection algorithms
منشور في 2001"…The empirical results show that the five algorithms can be used for different requirements of regression testing. …"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…On the other hand, keystroke dynamics-based systems achieve very high accuracy but have low anti-spoofing capability. …"
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm
منشور في 2017"…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …"
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conferenceObject -
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Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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14
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
15
Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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16
Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…The execution time of the proposed LFCARO is less than 1 sec. for 10 numerical problems and less than 1.5 sec. for the resource scheduling of residential distribution systems. Based on the average Friedman’s ranking test values, the proposed algorithm stands first with 1.82 for numerical and real-world scheduling problems.…"
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…The execution time of the proposed LFCARO is less than 1 sec. for 10 numerical problems and less than 1.5 sec. for the resource scheduling of residential distribution systems. Based on the average Friedman’s ranking test values, the proposed algorithm stands first with 1.82 for numerical and real-world scheduling problems. …"