Search Results - (( problem using prioritization algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…The study aims to model the MDMT toolpath using the Traveling Salesman Problem (TSP) concept, apply TTA to optimize this model, and validate the model and algorithm through machining experiments on this problem. …”
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Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
Published 2023Conference Paper -
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Web-based system for prioritization of research area in FSKM: a web system engineering approach / Mohd Azmeer Omar
Published 2012“…The system that has been developed is capable to allow lecturer to rate each research areas using star rating system. Then the most important research is calculated using scoring algorithm. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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Cost-based hybrid flow shop scheduling with uniform machine optimization using an improved tiki-taka algorithm
Published 2024“…The cost-based HFSS model and TTA algorithm have been tested using benchmark and case study problems. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…In the proposed RCM model, linguistic failure mode and effect analysis (LFMEA) was used to identify and prioritize the risk weight of FMs in the first section. …”
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Spanning Tree Transformation of Connected Graph into Single-Row Network
Published 2010“…Path-Growing Tree-Forming algorithm applied with Vertex-Prioritized is contained in the model to produce the spanning tree from the connected graph. …”
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An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…GA removes redundant states from test cases while the reduction technique removes redundant sequences from the suite. Afterwards, a prioritization algorithm used for sorting the test cases so the first test case detects the highest number of mutants followed by the cases that kill its live mutants. …”
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Combinatorial interaction testing of software product lines: a mapping study
Published 2016“…The most prominent CIT techniques in aiding SPL testing are those based on greedy algorithms followed by meta-heuristics algorithms. The motivation of SPL testing is to anticipate the feature interaction problem, in which the majority of the works were reported to leverage test configuration selection approach, while some employed test configuration prioritization approach. …”
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Grouper fish feed formulation using enhanced evolutionary algorithm with fibonacci rabbit initialization and binary-standard deviation tournament selection
Published 2023“…The main contribution of this research is the development of feed formulation using Evolutionary Algorithm (EA) with four variations of EA, which are Semi-Random Initialization – Binary Tournament Selection - EA (SR-BT-EA), Fibonacci Rabbit Initialization – Binary Tournament Selection - EA (FR-BT-EA), Semi-Random Initialization - Binary- Standard Deviation Tournament Selection - EA (SR-SD-EA) and Fibonacci Rabbit Initialization - Binary-Standard Deviation Tournament Selection - EA (FR-SD-EA). …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…Following site identification, an improved Geographical Information System-driven fuzzy Traveling Salesman Problem-Binary Integer Programming algorithm was proposed to integrate these sites into a reliable ring-based system topology, aiming to achieve a zero-carbon footprint. …”
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Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines
Published 2007“…In this paper, there are 4 interpolation methods used, namely Australian National University's Digital Elevation Model algorithm (ANUDEM), Kriging, Polynomial and Triangulated Irregular Network (TIN). …”
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Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach
Published 2017“…However, concerns have been raised regarding the limitations of GIS in accurately prioritizing diverse selection criteria in typical multi-criteria decision-making (MCDM) problems like route selection. …”
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