Search Results - (( developing best function algorithm ) OR ( java application learning algorithm ))
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Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…The best-performed modified ABC variants and memetic ABC algorithms are identified. …”
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Thesis -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Analysis of training function for NNARX in solar radiation prediction modeling
Published 2022“…Each Training Function algorithm will be used in modeling development and their prediction output will be compared with the actual output. …”
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Comparative Performance Analysis of Bat Algorithm and Bacterial Foraging Optimization Algorithm using Standard Benchmark Functions
Published 2014“…Optimization problem relates to finding the best solution from all feasible solutions. Over the last 30 years, many meta-heuristic algorithms have been developed in the literature including that of Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search Algorithm (HS) to name a few. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Application of adaptive bats sonar algorithm to minimise car side impact design
Published 2017“…The best objective function was compared with the existing results of other swarm intelligence algorithms. …”
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Undergraduates Project Papers -
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi
Published 2016“…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi
Published 2016“…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
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Thesis -
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…In this thesis also, I developed a new technique to extract the logic programming from radial basis function neural networks. …”
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Job recruiting system using sorting Algorithm / Adi Asyraf Ayob
Published 2020“…The purpose of this project is to develop a web-based job recruiting system with implementation of sorting algorithm. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals
Published 2012“…Therefore, two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm, were developed to optimize the integrated scheduling of handling equipment. …”
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Thesis -
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
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A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…We focus our study on a recently developed method known as discrete filled function method. …”
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Monograph -
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Agreement options for negotiation on material location decision of housing development
Published 2020“…It will need the development of trade-off algorithms to analyze value of technical solution in real time. …”
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