Dynamic Overlapping Clustering for Wireless Sensor Networks Based-on Particle Swarm Optimization

Particularly, this paper focuses on the FCM learning using three different population based meta- heuristics: particle swarm optimization (PSO), genetic algorithm (GA) and a

Clustering based on PSO , Clustering based on Kmeans, PSO Three examiners are asked to score the sentences of a Set of news and the summary of the text is generated using

Keywords: Coverage Problem; Particle swarm optimization; Swarm intelligence; Wireless Sensor

In this paper, we have proposed a new technique to distribute the role of cluster head among some of the wireless sensor nodes based on their residual

In this paper we propose a new approach based on Particle Swarm Optimization Algorithm to mine association rules for both frequent and infrequent itemsets in an efficient way.

The efficiency of Islamic banks parameters shows that Return on Asset ratio is more efficient as the financing mode of Islamic banks is based on equity basis. The mode of

Low Energy Adaptive Clustering Hierarchy (LEACH) is the first energy efficient routing protocol for hierarchical clustering. It reduces the energy significantly [10]. The

A new IPSO-SA algorithm based on an improved particle swarm optimization and a modified simulated annealing was proposed to find the cardinality constrained efficient frontier.