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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Scalable approach for mining association rules from structured XML data
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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Coalition formation for throughput enhancement via one-sided matching theory
Published 2016“…In the proposed model, we make use of one-sided matching theory to develop an algorithm for the cognitive radios to form coalitions of varying the size to improve their individual gains (.e.g. throughput and the probability of false alarm). …”
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Proceeding Paper -
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Coalition formation for throughput enhancement via one-sided matching theory
Published 2016“…In the proposed model, we make use of one-sided matching theory to develop an algorithm for the cognitive radios to form coalitions of varying the size to improve their individual gains (.e.g. throughput and the probability of false alarm). …”
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Proceeding Paper -
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Therefore, numerous factors and techniques have been used to optimize the prioritization process. …”
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Throughput enhancement in cognitive radio network via coalition formation using matching theory
Published 2015“…In the proposed model we make use of one sided matching theory to develop an algorithm for the cognitive radios to form coalitions of varying size to improve their individual gains (.e.g. throughput and probability of false alarm). …”
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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