Search Results - (( program data optimisation 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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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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Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
Published 2023“…Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. …”
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…Specifically, this research has been conducted with the core objective to develop a customised programming model for multi-purpose optimisation using this penalty cost method that ties together divergent objectives unique to Islamic banks. …”
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Pembangunan model pengoptimman pengeluaran minyak sawit dan isirong sawit menggunakan pendekatan genetik kabur
Published 2008“…The developed model is an integration between fuzzy expert system models and multi objective programming model. Model optimisation is performed using the genetic algorithm method. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul
Published 2023“…VRPB is a Non-deterministic Polynomial-time hard (NP-hard) problem. The huge data size has increased the difficulty of solving it using mathematical programming or combinatorial optimisation. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…This study addresses the challenges posed by traditional maintenance approaches within nuclear power plants, where lengthy procedures and a laborious working process hinder the timely identification and resolution of potential operational issues. Practical algorithms incorporating k-nearest neighbour and decision tree models with quantifiable performance metrics are proposed to streamline and optimise the maintenance process. …”
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Feature clustering for pso-based feature construction on high-dimensional data
Published 2019“…Experimental results were obtained by using six UCI data sets and six high-dimensional data to demonstrate the efficiency of the proposed method when compared to the original full features, other PSO based FC methods, and standard genetic programming based feature construction (GPFC). …”
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Malaysian secondary boarding school menu planning system / Suliadi F. Sufahani and Anuar M. Yusof
Published 2021“…The model was fathomed by utilising Binary Programming and "Sufahani-Ismail Algorithm" and a system was developed to comply with the problem. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Two sets of real-time data are presented in this work. The first one is related to the questionnaire data, consisting of 262 respondent samples, while the second set has 263 samples of pedestrian walking signals. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Two sets of real-time data are presented in this work. The first one is related to the questionnaire data, consisting of 262 respondent samples, while the second set has 263 samples of pedestrian walking signals. …”
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