Search Results - (( software migration method algorithm ) OR ( parallel optimization sensor algorithm ))
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…The ever increasing line of codes makes it impossible to test the software exhaustively. Traditional testing methods such as equivalence partitioning, boundary value analysis and decision tables are well known methods to reduce test size. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
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Experimental Model for Teaching Software Testing
Published 2015“…In this paper, we propose the concept of teaching software testing with an experimental model for pairwise testing; developed with Migrating Birds Optimization (MBO) algorithm called Experimental Model for Teaching Software Testing (EMTST). …”
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Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Solving Economic Dispatch Problems with Practical Constraints Utilizing Differential Search Algorithm
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. The high-Tc SQUID magnetometer is constructed from a high-Tc SQUID sensor coupled by a flux transformer to sense the modulated magnetization signal from a sample. …”
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review
Published 2025“…Covering research from 2014 to 2024, the review evaluates hybrid and metaheuristic strategies, including Pairwise Migrating Birds Optimization-Based Strategies (PMBOS), Pairwise Gravitational Search Algorithm Strategy (PGSAS), Pairwise hybrid Artificial Bee Colony (PhABC), Genetic and Particle Swarm Optimization (GAPSO) algorithm, Hybrid Optimization Algorithm (HOA), and Parameter Free Choice Function based Hyper-Heuristic (PCFHH), among others. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…E-commerce and m-commerce are the method of choice by the business and consumer to perform the buying and selling activities. …”
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DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
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