Search Results - (( program using combination algorithm ) OR ( java location based algorithm ))
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Group formation using genetic algorithm
Published 2009“…However, due to lack of programming skills especially in Java programming language and the inability to have meetings frequently among the group members,most of the students’ software project cannot be delivered successfully.To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in Java programming and also to ensure that every group member in a group are staying closer to each other.In this research, we propose a method for group formation using Genetic Algorithms, where the members for each group will be generated based on the students’ programming skill and location of residential colleges.…”
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Monograph -
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Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. Estimated location is reported as physical location and symbolic location. …”
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An optimal mesh algorithm for remote protein homology detection
Published 2011“…This paper also shows that the use of the refinement algorithm increases the performance of the multiple alignments programs by at least 4%.…”
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A hybrid intelligent algorithm for solving the bilevel programming models
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Working Paper -
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To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi
Published 2000“…First, all the words will used the 1234 combination, and if the program encountered that the words can not be solved correctly, the combination will be shifted to the secondary combination that is 2341. …”
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An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. …”
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System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)
Published 2022“…Optimization algorithms can be used to solve Non-deterministic Polynomial (NP) hard problem like system management. …”
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Academic Exercise -
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Global optimal analysis of variant genetic operations in solar tracking
Published 2023“…Both software and hardware have been developed to simulate related genetic algorithm results using a combination of variant genetic operators. …”
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Solving Combined Economic Emission Dispatch Problems Using Multi-objective Hybrid Evolutionary-Barnacles Mating Optimization
Published 2025“…MOHEBMO combines Evolutionary Programming and Barnacles Mating Optimizer to find the best trade-off among conflicting objectives. …”
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The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
Published 2004“…CoRGA was used to try and identify the best combination of risk factors for 4-year all-cause mortality. …”
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To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail
Published 2001“…First, all the words used the prefix-suffix-prefix suffix-infix combination, and if the program encountered that the words can not be solved correctly, combination will be shifted to the secondary combination that is prefix suffix-suffix-prefix-infix combination. …”
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype of SEM is constructed based on the modern Smart Meter design and modified with additional control devices and sensors, so that it can measure, record and transfer the data using designated algorithm combining three types of communication system in one device; Wi-Fi, GSM and RF. …”
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The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat
Published 2001“…First, all the words used the 1234 combination, and if the program encountered that the words cannot be solved correctly, combination will be shifted to the secondary combination that is 3124 combination. …”
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Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption
Published 2022“…Subsequently, this project embedded with a lightweight Geo-Encryption algorithm to preserve the privacy of real-time GPS location. …”
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Academic Exercise -
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Combined heat and power economic dispatch using Shuffled Frog Leaping Algorithm (SFLA) / Saidatul Maisarah Fadzli
Published 2015“…This thesis discusses the solution of combined heat and power economic dispatch (CHPED) problem using shuffled frog leaping algorithm (SFLA), which is inspired by the behavior of a group of frogs to find a place that has the most food for an optimization technique purposes that has been developed for solving the CHPED problem. …”
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