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Effective software fault localization based on complex network theory / Abubakar Zakari
Published 2019“…In the proposed fault isolation approach, a community weighting and selection mechanism is introduced to aid in prioritizing highly important communities for developers to debug the faults simultaneously in parallel. …”
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A review of genetic algorithms and parallel genetic algorithms on Graphics Processing Unit (GPU)
Published 2013“…One of the popular ways to speed up the processing time was by running them as parallel. The idea of parallel GAs may refer to an algorithm that works by dividing large problem into smaller tasks. …”
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Development of a parallel clustering of bilingual corpora based on reduced terms
Published 2015“…A set of relevant terms will be selected based on the GA based terms selection process. …”
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PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…Addressing these issues, this research proposes a new general opposition-based learning (OBL) technique inspired by a natural phenomenon of parallel mirrors systems called the parallel mirrors technique (PMT). …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Addressing these OBL limitations, this research proposes a new general OBL technique inspired by a natural phenomenon of parallel mirrors systems called the Parallel Mirrors Technique (PMT). …”
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A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults
Published 2019“…A community weighting and a selection mechanism that aids in prioritizing highly important fault-focused communities to the available developers to debug the faults simultaneously in parallel is also proposed. …”
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Parallel processing in Compute Unified Device Architecture (CUDA) for energy saving glass
Published 2014“…In order to develop a complex coating structure, genetic algorithm technique is used in this research. However, genetic algorithm require a fast processing speed in order to cope with the process of creating new chromosome from the population and undergoes the selection, crossover and mutation operation processes. …”
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Online simulation to monitor multiphase flow using laser source as transmitter
Published 2021“…In conclusion, the technique of using parallel beam projection with a laser source can improve the image quality in liquid phase and enables the percentage size of bubbles to be determined.…”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter
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ROA-CONS: raccoon optimization job scheduling
Published 2021“…It describes a new scheduling approach, which is a combination of an updated conservative backfilling approach further optimised by the raccoon optimisation algorithm. This algorithm also proposes a technique of selection that combines job waiting and response time optimisation with user fairness. …”
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Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…Then, the two types of features importance computed from RF algorithm are utilized for the attributes explanation. …”
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An evolutionary-based term reduction approach to bilingual clustering of Malay-English corpora
Published 2017“…In this study, a genetic algorithm (GA) is used in order to reduce the number of feature selected. …”
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Five-level single source voltage converter controlled using selective harmonic elimination
Published 2018“…Selective Harmonic Elimination (SHE) is the modulation technique employed. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…ITLBO with supervised machine learning (ML) technique was used for feature subset selection (FSS). …”
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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