بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
tested using » system using (توسيع البحث)
element » elements (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
tested using » system using (توسيع البحث)
element » elements (توسيع البحث)
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1
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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2
Natural optimization algorithms for optimal regression testing
منشور في 1997"…The algorithms are based on an integer programming problem formulation and the program's control-flow graph. …"
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conferenceObject -
3
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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4
A comparative study of five regression testing algorithms
منشور في 1997"…The experimental results show that the five algorithms are suitable for different requirements of regression testing. …"
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conferenceObject -
5
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
6
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7
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
منشور في 2007"…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …"
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8
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 -
9
A method for test scheduling using an evolutionary approach. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
10
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11
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 -
12
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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13
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14
Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW)
منشور في 2024"…The results showcase the outstanding performance of HGA, achieving Best-Known Solutions (BKS) for 11 instances and enhancing BKS solutions in one instance. Experimental findings validate that HGA-SIH consistently delivers results on par with or surpasses those obtained by several cutting-edge algorithms when evaluated based on various solution quality metrics. …"
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15
Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm
منشور في 2020"…In this paper, for the first time, a real-time implementation of SHM using an off-the-shelf mid-range microcontroller is presented and tested. …"
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16
Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv...
منشور في 2019"…The investigation that involves analysis and comparison is done for obtaining reduced total harmonic distortion (THD) by using different level-shifted multicarrier SPWM schemes along with proposed GA-based SHE. …"
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17
Test case generation for path coverage. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
18
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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19
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20