[PDF] Top 20 Study on swarm optimization clustering algorithm
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Study on swarm optimization clustering algorithm
... hierarchical clustering method and the top-down split hierarchical clustering method according to the different directions of the decomposition in hierarchical clustering method ...hierarchical ... See full document
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Content Based Image Retrieval Using Improved Particle Swarm Optimization – K-Means Clustering With Support Vector Machine Algorithm
... IPSOKMC clustering algorithm PSO influences as a technique but when combined with other computational intelligence technique yields efficient and effective ...This algorithm used the ability of PSO ... See full document
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Study on the optimization algorithm of sediment particle Imshanage
... particle swarm keeps tracking of the two best particles pbest and ...particle swarm, then nbest will change to the global best particle ...PSO algorithm (1) and (2) to update their speed and the new ... See full document
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Hybrid Particle Swarm Optimization (HPSO) for Data Clustering
... PSO algorithm stops either when maximum number of function evaluations has been reached or when there is no significant improvement over a number of ...different swarm based techniques par- ticle ... See full document
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QPSO-based energy-aware clustering scheme in the capillary networks for Internet of Things systems
... Quantum-inspired particle swarm optimization (QPSO) combines the advantages of the quantum computing theory and the evolutionary algorithm. Compared with PSO, QPSO adopts novel rotation angle and ... See full document
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A Survey on Image Clustering using Soft Computing Techniques
... 1) Particle Swarm Optimization: The PSO is a population-based optimization algorithm. It maintains a population of entity, where each entity considers a most possible solution for the ... See full document
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Optimizing blasting’s air overpressure prediction model using swarm intelligence
... this study, several ANN models based on swarm intelligence (SI) algorithm; particle swarm optimization (PSO) and multi swarm optimization (MSO) were utilized to predict ... See full document
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Local Search Binary Particle Swarm Optimization (LSBPSO) MAC Clustering With Genetic Algorithms for Wireless Sensor Networks
... (B-MAC) clustering protocol with a crossed Genetic Algorithm(GA) as well as Particle Swarm Optimization (PSO) methods for overwhelming the huddling issue through sighting of quantity of ... See full document
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Routing Attacks Detection Method of Wireless Sensor Network
... particle swarm optimization K-means clustering algorithm to detect routing attacks caused by abnormal flows in this ...K-means clustering algorithm is an effective method has ... See full document
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Clustering chemical data set using particle swarm optimization based algorithm
... Clustering is the process of organizing similar objects into groups, with its main objective is to organize a collection of data items into some meaningful groups. Generally, clustering is the most suitable ... See full document
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Multi-Area Economic Dispatch Performance Using Swarm Intelligence Technique Considering Voltage Stability
... using swarm intelligence technique. In this study, swarm intelligence technique, namely the particle swarm optimization technique (PSO) is employed for solving multi-area economic ... See full document
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Energy Optimization in Clustering for Wireless Sensor Networks Using Firefly Algorithm
... aware clustering for wireless sensor networks using Particle Swarm Optimization (PSO) algorithm, which is implemented at the base ...an algorithm to maximize network lifetime in ... See full document
5
Application of Particle Swarm Optimization in Data Clustering: A Survey
... search algorithm which is initialized with a population of random solutions, called ...this algorithm, called PSO is also associated with a ...the swarm, with some random ...the swarm as a ... See full document
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... fuzzy clustering-based particle swarm (FCPSO) algorithm has been proposed to solve the highly constrained EED problem involving conflicting ...fuzzy clustering technique, manages the size of ... See full document
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Analysis of Population Based Metaheuristic Used for Gene Clustering
... Gene Clustering Problem, Molecular Docking Problem, Multiple Sequence Alignment Problems, Phylogenetic tree construction , RNA Secondary Structure Prediction, Protein Secondary Structure Prediction, Fragment ... See full document
5
Scheduling Problem of Shared Car Based on Fish Swarm Algorithm
... The algorithm establishes artificial fish model according to the biological instinct of the fish, that is, foraging, clustering and rear end ...local optimization among the various artificial fish to ... See full document
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ISSN: 2321-8363 Impact Factor: 4.123
... Ibrahim Aljarah et al [5] proposed a parallel particle swarm optimization clustering algorithm based intrusion detection system that used MapReduce methodology. PSO was used to cluster the ... See full document
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Fuzzy Supervised Clustering Algorithm with the Particle Swarm Optimization
... partition clustering algorithms, Gustafson-Kessel (GK) clustering algorithm and Gath-Geva (GG) clustering algorithm [3] were developed to detect non- spherical structural clusters, but ... See full document
5
An Efficient Intelligent Clustering Tool based on Hybrid Fuzzified Algorithm for Electrical Data
... the algorithm uses Fuzzified PSO and K-harmonic means to generate more accurate, robust and better clustering and also generate the best solution in few number of iterations, avoid trapping in local optima ... See full document
7
A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... of clustering. The clustering is one of the problem in data mining that always affected many ...researchers. Clustering is one of the important unsupervised classification ...k-mean algorithm ... See full document
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