Search Results - (( programming quality function algorithm ) OR ( java swarm optimization algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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4
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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System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)
Published 2022“…This project present a system program algorithm based on Moth Flame Optimization (MFO) algorithm to assign an optimal set of system program to meet the satisfaction of quality of service requirements of cloud computing in such a way that the total execution time of tasks is minimized. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…We introduced a method that combines a compromise programming (CP) approach and metaheuristic algorithms, including the genetic algorithm (GA) and ant colony optimization (ACO), to solve the proposed optimization problem. …”
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CSC099: Foundation Computing II / Centre of Foundation Studies
Published 2022“…This course introduces basic computer programming algorithm, problem solving, structured programming language, selection structure, repetition structure, function and array. …”
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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
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A hybrid MEP and AIS Algorithm for energy dispatch in power system
Published 2017“…Based on original Meta Heuristic Evolutionary Programming (Meta-EP) method with a consideration on cloning process as in Artificial Immune System (AIS) algorithm together thus identified as New Meta Heuristic Evolutionary Programming algorithm (NMEP). …”
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Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review
Published 2023Conference Paper -
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Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
Published 2022“…A predetermined optimization goal can be achieved by quantifying the quality measures, also known as fitness functions, objective functions, or goodness levels. …”
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Maximum 2-satisfiability in radial basis function neural network
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A Compromise Programming to Task Assignment Problem in Software Development Project
Published 2021“…We designed a genetic algorithm scheme to solve the transformed problem. …”
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An efficacious multi-objective fuzzy linear programming approach for optimal power flow considering distributed generation
Published 2016“…Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.…”
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Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering
Published 2022“…It simulated and processed using Fuzzy Subtractive Clustering Algorithm, Jupyter Notebook Software with Python programming language. …”
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Performance evaluation of corner effect in UMTS / Nurzaliza Ghazali
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Comparison and evaluation of multiple sequence alignment tools in bininformatics
Published 2009“…A variety of computational algorithms and programs have been created for this purpose. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…Software modifications necessitate regression testing to address defects and verify functionality. Regression test case prioritisation (TCP) is used to revalidate modified software, ensuring its quality before release on the digital market. …”
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