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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…For efficiency, the study found that the execution time metric was at 1.53757 seconds. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…The experiment conducted on the proposed approach and the result obtained was empirically evaluated and compared with some existing approaches to determine its efficiency and effectiveness. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Algorithm analyzer to check the efficiency of codes
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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm
Published 2023“…In the modeling phase, all the ALB-EE optimization objectives are presented in a mathematical form to earn line efficiency and energy utilization. Then, the TTA is developed before undergoing functionality tests by benchmarking with Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA). …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The development process for this simulation is using programming language of Microsoft Visual C I t 6.0 and the coding creation depends on the algorithm flowchart and the formula pseudocode. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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A fast and efficient crosstalk-free algorithm for routing in optical multistage interconnection networks
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A filtering algorithm for efficient retrieving of DNA sequence
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Pengesan lalu lintas dengan kaedah pemerosesan imej
Published 2001“…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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Efficiency and fairness of new-additive increase multiplicative decrease congestion avoidance and control algorithm
Published 2011“…In addition, to evaluate the effect of using the AIMD algorithm after its development to measure the efficiency and fairness and find new enhancement results for our approach, which named as the New-AIMD algorithm. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…The efficiency of each algorithm developed is evaluated on the basis of the number of iterations and extreme points required for convergence, and the magnitude of the errors generated. …”
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Chebyshev approximation of discrete polynomials and splines
Published 2004“…The efficiency of each algorithm developed is evaluated on the basis of the number of iterations and extreme points required for convergence, and the magnitude of the errors generated. …”
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BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…The performance of the proposed algorithm is compared with that of a number of algorithms that are most commonly used and reported in the corresponding scientific literature, such as the CASE clustering algorithm for sequence data, the ACCORD bicriterion clustering algorithm and modified ART1, and using a defined performance measure known as group technology efficiency and bond efficiency. …”
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Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…An energy efficiency of 31.6 has been achieved with an 8.1 improvement of comfort index using the HMOGA technique. …”
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Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…An energy efficiency of 31.6 has been achieved with an 8.1 improvement of comfort index using the HMOGA technique. …”
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