Search Results - (( developing merging _ algorithm ) OR ( java optimization method algorithm ))
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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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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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
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Undergraduates Project Papers -
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An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm
Published 2012“…A series of experiment was carried out by using one computer. Vertex Merge Algorithm (VMA) simulation is developed under Linux platform. …”
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Conference or Workshop Item -
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Thesis -
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Optimize class time tabling by using genetic algorithm technique in UTHM
Published 2019“…This research used genetic algorithm (GA) that was applied to java programming languages with a goal of reducing conflict and optimizing the fitness. …”
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Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite
Published 2025“…This study proposes a combinatorial testing method utilizing the Whale Optimization Algorithm (WOA). …”
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Article -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…Metaheuristic algorithms have been used successfully for solving different optimization problems. …”
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Conference or Workshop Item -
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An improved algorithm for channel allocation on direct sequence spread spectrum
Published 2011“…Welsh Powell algorithm is an algorithm that tries to solve the graph coloring problem.Dsatur algorithm is an algorithm coloring sorted by building sequence of vertices dynamically.However,these algorithms have its weaknesses in terms of the minimum number of channel required.In this study,channel allocation called Vertex Merge Algorithm (VMA) is proposed with aim to minimize number of required channels.It is based on the logical structure of vertex in order to a coloring the graph.Each vertex on the graph arranged based on decreasing number of degree.The vertex in the first place on the set gives a color,and then this vertex is merged with non-adjacent vertex.This process is repeatedly until all vertices colored.The assignment provides a minimum number of channels required.A series of an experiment was carried out by using one computer.Vertex Merge Algorithm (VMA) simulation is developed under Linux platform.It was carried out in Hypertext Preprocessor (PHP) programming integrated with GNU Image Manupulation Program (GIMP) for open and edit image.The experimental results show that the proposed algorithm work successfully in channel allocation on DSSS with the minimum of channels required.The average percentage reduction in the number of required channels among the VMA, Dsatur algorithm and Welsh Powell algorithm in the simple graph is equivalent to 0.0%. …”
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Thesis -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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Thesis -
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Development of web based learning content of animation algorithm on searching and sorting techniques / Nur Linda Abdi Nur
Published 2007“…In sorting algorithm, we focused on quick sort, heap sort, merge sort, bubble sort, insertion sort and selection sort while in searching algorithm we focused on binary search and sequential search. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique
Published 2021“…Both processes were sorted by algorithms on join attributes and the sorted relations was merged. …”
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DNA Motif Prediction using Novel Ensemble Approach
Published 2020“…Then, using a proposed merging algorithm, the candidate motifs are merged regardless the different lengths. …”
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Ensemble Framework for Motif Discovery Based on Data Partitioning
Published 2020“…Then, using a proposed merging algorithm, the candidate motifs are merged regardless the different lengths. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…An inappropriate selection of materials for engineering component would result in entire product failure which ultimately has a negative impact on the society. Several algorithms, methods and spreadsheets are being proposed by various researchers in this field to improve materials selection. …”
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JQPro : Join query processing in a distributed system for big RDF data using the hash-merge join technique
Published 2023“…By adopting a MapReduce framework in JQPro, we developed three new algorithms, which are hash-join, sort-merge, and enhanced MapReduce-join for join query processing of RDF data. …”
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