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graph based genetic algorithm

An SVD based Real Coded Genetic Algorithm for Graph Clustering

An SVD based Real Coded Genetic Algorithm for Graph Clustering

... on graph has gained enormous popularity now a days. In case of graph clustering, the data objects are represented in terms of vertices and the proximities are represented in terms of ...weighted ...

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A multi-objective genetic graph-based clustering algorithm with memory optimization

A multi-objective genetic graph-based clustering algorithm with memory optimization

... GGC algorithm is the third (92%), it could be due Iris dataset has instances of different classes which are closed to each other, the GGC algorithm has problems to discriminate the boundary of the clusters ...

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A Non linear Programming Model for the Machine Grouping and a Genetic Algorithm based Solution Methodology

A Non linear Programming Model for the Machine Grouping and a Genetic Algorithm based Solution Methodology

... (ALC) algorithm to identify machine groups from the distance ...methods; based on a comparative analysis of efficiency measures like grouping efficiency and grouping ...efficacy. Graph partitioning ...

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Optimization Algorithm of Fireworks Explosion Based on Genetic Algorithm

Optimization Algorithm of Fireworks Explosion Based on Genetic Algorithm

... the genetic algorithm based on the fireworks algorithm optimization effect is ...fireworks algorithm, the improved explosion radius fireworks algorithm, the fireworks ...

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Use of Genetic Algorithm in Network Security

Use of Genetic Algorithm in Network Security

... a Genetic Algorithm Based Approach to Network Intrusion Detection ...(IDS), genetic algorithm (GA) applied to a network intrusion detection ...using Genetic Algorithms. This ...

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A Survey Of Genetic Algorithm Based Load Balancing Techniques For Task Graph Scheduling Problem In Distributed Environment

A Survey Of Genetic Algorithm Based Load Balancing Techniques For Task Graph Scheduling Problem In Distributed Environment

... Broadly all problems can be classified into two categories: Data intensive and Computation intensive. Scheduling of a parallel program lies in the class of computation intensive problem. Generally, scheduling is ...

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Breaking the symmetry of the graph colouring problem with genetic algorithms

Breaking the symmetry of the graph colouring problem with genetic algorithms

... a graph colouring one (de Werra 1997, 1999) as well as ...of genetic algorithms to the graph colouring ...greedy algorithm (Turner 1988) which have now been outperformed by the use of hybrid ...

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Use of Genetic Algorithm in Network Security

Use of Genetic Algorithm in Network Security

... a Genetic Algorithm Based Approach to Network Intrusion Detection ...(IDS), genetic algorithm (GA) applied to a network intrusion detection ...using Genetic Algorithms. This ...

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Edge Coloring Scheduling Algorithm for Wireless Sensor Network using TDMA based Mac Protocol

Edge Coloring Scheduling Algorithm for Wireless Sensor Network using TDMA based Mac Protocol

... using Genetic Algorithm for the graph coloring strategy, and we will use this scheme to color each edge of the networks; then, we will use the solution of the edge-coloring to assign ...

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A Graph-Based Friend Recommendation System Using Genetic Algorithm

A Graph-Based Friend Recommendation System Using Genetic Algorithm

... second condition focuses on the users most likely to respond to the experiment. For each of the 70 selected user, it was generated a set of 10 recommendations, among which 20% using the FOF algorithm. However, ...

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Graph Based Region Merging Algorithm for Image Segmentation

Graph Based Region Merging Algorithm for Image Segmentation

... We adopt a chart based strategy to division. On account of picture division, the components in V are pixels and the weight of an edge is some measure of the disparity between the two pixels associated by that edge ...

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OntoLearn Reloaded: A Graph Based Algorithm for Taxonomy Induction

OntoLearn Reloaded: A Graph Based Algorithm for Taxonomy Induction

... hypernymy graph (see Section 4 for statistics concerning the experiments that we ...novel graph pruning algorithm, based on the Chu-Liu/Edmonds optimal branching algorithm (Chu and Liu ...

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Graph Based Algorithm for Automatic Domain Segmentation of WordNet

Graph Based Algorithm for Automatic Domain Segmentation of WordNet

... their algorithm on en- tire Wordnet ...hyponymy graph may not be a true represen- tative of domain specific ...is based on the hypothesis that, ‘Do- main specificity of a term depends on the spatial ...

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A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering

A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering

... Heuristic methods, hierarchical methods and objective function-based methods are main approaches in fuzzy clustering. In objective function-based clustering the mathematical model is stated in form of an ...

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Classification of Touch Spam in Mobile Ad Networks using Bi-Partite Graph

Classification of Touch Spam in Mobile Ad Networks using Bi-Partite Graph

... a Graph based Node-Tagged propagation algorithm to predict spam in Mobile game ...This Algorithm constructed bipartite graph G from Advertiser web server log data and generates Labeled ...

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A Genetic Fuzzy Model for Investigating Security and Trust in
E Commerce with Genetic Algorithm

A Genetic Fuzzy Model for Investigating Security and Trust in E Commerce with Genetic Algorithm

... function. Genetic algorithm is a useful tool in pattern recognition, attribute selection, image comprehension and machine ...In Genetic algorithms, the genetic evolution of living things is ...

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The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

... As depicted in Figure 5, all other approaches except Bagged MLP get similar results for Normal, DoS, U2R and R2L classes. For Probe attack class, Bagged MLP shows comparable performance to MANNE. Whereas, for Normal, U2R ...

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To Improve Web Performance based on Horizontal Partition of Decision Tree with Layer Architecture
                 

To Improve Web Performance based on Horizontal Partition of Decision Tree with Layer Architecture  

... items based on similarity ...are based on the maximizing the similarity between objects in a same class and minimizing the similarity between objects of different ...Density based methods, c) ...

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Hardware/Software Partitioning Algorithm Based on Genetic Algorithm

Hardware/Software Partitioning Algorithm Based on Genetic Algorithm

... new algorithm based on GA is ...proposed algorithm outperforms the algorithms in comparison by up to 23% in large-scale ...proposed algorithm has higher efficiency and appears to be a better ...

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Jitendra Kumar Gupta 3

Jitendra Kumar Gupta 3

... stock based on the previously mentioned factors and to act on the assumption that the actual stock price will eventually reflect the determined ...and genetic algorithm to increase the efficiency of ...

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