Search Results - (( problem using group algorithm ) OR ( java application stemming algorithm ))
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Classification for large number of variables with two imbalanced groups
Published 2020“…In the presence of group imbalance and large number of variables problems, traditional classification algorithms tend to be biased towards the majority group. …”
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Thesis -
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A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…The algorithms work by arranging parameters using finite field group in elliptic curve E. …”
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Multi-Objective Search Group Algorithm for engineering design problems
Published 2022“…This study proposes a new multi-objective version of the Search Group Algorithm (SGA) called the Multi-Objective Search Group Algorithm (MOSGA). …”
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Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…This study aims to implement the classification algorithm using the Improved Clonal Selection Algorithm (ICLONALG) to classify the eyesight’s problems. …”
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A genetic algorithm approach for timetabling problem: the time group strategy
Published 2004“…Over the last decade variant of Genetic Algorithm (GA) approaches have been used to solve various types of TTP with great success. …”
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A method for group formation using genetic algorithm
Published 2010“…However, due to lack of programming skills especially in Java programming language, 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 programming.This paper presents a method for group formation using genetic algorithm, where the members for each group will be generated based on the students’ programming skill.…”
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BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…The performance of the proposed algorithm is compared with that of a number of algorithms that are most commonly used and reported in the corresponding scientific literature, such as the CASE clustering algorithm for sequence data, the ACCORD bicriterion clustering algorithm and modified ART1, and using a defined performance measure known as group technology efficiency and bond efficiency. …”
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A novel algorithm for collaborative behavior of multi-robot in autonomous reconnaissance
Published 2011“…This paper addresses the problem of mobile robots executing complex group behaviors in an attempt to form collaborative group behavior of hexapod robots in reconnaissance mission. …”
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Proceeding Paper -
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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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Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations
Published 2013“…The BFO algorithm is used to create machine cells and part families. …”
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Automatic clustering of gene ontology by genetic algorithm
Published 2006“…Additionally, deciding the number k of clusters to use is not easily perceived and is a hard algorithmic problem. …”
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Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…As a result, a new idea of problem P2 using the objects (medoid) themselves was introduced. …”
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Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…Two new decision making models have been developed in this study, the first is the combination of multi-granular linguistic information using fusion algorithm and consistent fuzzy preference relations (CFPR) and the second one is the combination of multi-granular uncertain linguistic information and consistent linguistic fuzzy preference relations (CLFPR) to cater this problem. …”
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Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD)
Published 2020“…Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information. …”
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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Thesis -
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Text spam messages classification using Artificial Immune System (AIS) algorithms
Published 2024thesis::master thesis -
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