[PDF] Top 20 Performance Analysis of a Telecommunication Network using Swarm Intelligence
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Performance Analysis of a Telecommunication Network using Swarm Intelligence
... is analysis of telecommunication network performance using ACO algorithm and to measure performance in terms of ...simulated network models routing of calls between ... See full document
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Performance Analysis of Hybrid Swarm Intelligence Rule Induction Algorithm
... their performance deteriorates as the dimensionality of the search space ...in performance over the basic ...that swarm; no exchange of genetic information takes ... See full document
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SWARM INTELLIGENCE: PROBLEM SOLVING TECHNIQUE IN TELECOMMUNICATION
... Abstract: This paper describes how biologically-inspired agents can be used to solve control problems in Telecommunications. These agents, inspired by the foraging behaviour of ants, exhibit the desirable characteristics ... See full document
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Keyword Extraction Using Swarm Intelligence Techniques
... validated using data set from ELEA (Emergent Leader Analysis) ...by using both Existing and proposed ...recommendation.The performance of the proposed method is compared with the Existing ... See full document
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The Case Study of Swarm Intelligence Optimization Algorithm Performance
... This algorithm is a member of the Ant Colony Algorithms family, in swarm intelligence methods, and it constitutes some meta- heuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD ... See full document
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The Impact Of Social Network Analysis On Telecommunication Customers
... Business Intelligence (BI) and Data Mining (DM) techniques are aggressively taking their place as the top of most telecom operators and they become one of the biggest competitive advantage in those ...[1]Social ... See full document
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QOS IN MANET USING SWARM INTELLIGENCE
... The first algorithm that presented a detailed scheme for MANET routing based on ant colony principles is ARA [10]. The algorithm has its foundation in ABC [11] and AntNet[12] routing algorithms for fixed networks, which ... See full document
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Big data analysis based on mathematical model: A comprehensive survey
... them using traditional data processing ...comprise analysis, capture, creation, search, sharing, storage, transfer, visualization, and privacy ...of swarm intelligence. Using ... See full document
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Double Layer Security in the Swarm Intelligence P2P Network
... overlay network. Three most important requirements for secured overlay network are secured node-ID assignment, secured routing table maintenance and secured message forwarding ...overlay network ... See full document
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Optimization of a Five Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms
... Swift changes in environment, technology and market has warranted BO to maximize the performance of all the member of SC rather than an individual member. To mitigate this situation, SC members ought to establish ... See full document
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Amputating wormhole attack in wireless sensor network using swarm intelligence
... sensor network is expected to give a certain data that the user is actively enquiring about after some amount of ...proper performance of sensor networks to delay or even prevent the delivery of data ... See full document
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Intrusion Detection using Artificial Neural Network and Swarm Intelligence Algorithm
... LIMAM Selma et al. [22] proposed the integration and inflation of Three-Dimensional Periodic Phased Array Antenna using ANN Method. There frequent logical yields are not accessible for complex genuine frameworks, ... See full document
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Neural Network Optimization by Swarm Intelligence for Prediction & Classification of Benchmark Datasets
... Particle swarm optimization (PSO) is a computational method which optimizes a problem by having a population of candidate solutions, and moving these particles around in the search - space according to simple ... See full document
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Expressive and Deployable Swarm Intelligence Based Cybersecurity for Wireless Sensor Network
... quantitative analysis, we show that the radio resource testing method is very elective given the assumption that a malicious node cannot send on multiple channels ... See full document
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Comparative Analysis of Trustworthiness in Swarm Intelligence Techniques using Mobile Adhoc Network Environment
... the swarm intelligence techniques in accurately evaluating trusted node in the network environment and choosing good nodes for communication path ...a network environment the accuracy slightly ... See full document
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Enhance the Performance of Clustering Technique Using Swarm Intelligence
... A vast variety of feature selection methods have been proposed according to different metrics, such as information gain, entropy, chi-square test, t-test. Yet when applied to multi-class classification task, these methods ... See full document
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EEG Signal Classification Using ANN Trained With Hybrid PSO And GSA
... signals using MLPNN based ...decomposed using DWT and the statistics of the wavelet coefficients form the feature ...for performance evaluation of the proposed ...time performance as it has ... See full document
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... the network is fully utilized to ensure high quality of ...the network and the nodes are within the communication ...particle swarm algorithm was used to find the optimal positions of the sensors to ... See full document
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A Review on the Performance Analysis of VCR System Using Nanorefrigerants
... refrigerator using pure R600a as working fluids, ...of using 𝑖𝑂 –R134a as working ...the performance of the domestic ...of using nanoCuO – R134a in the vapor compression system on the ... See full document
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Title: REVIEW ANALYSIS ON IMPORTANCE OF SWARM INTELLIGENCE AND ROBOTICS
... a swarm have singular encounters, are located at the various area in a swarm, see distinctive highlights in their ...condition. Swarm connection or swarm Interaction has determined by a ... See full document
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