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Clustering of nodes in Wireless Sensor Networks is a problem of concern for many researchers. The major challenge is to propose an algorithm which can optimize the values of various performance parameters like packet delivery ratio and network lifetime of a node in the network. This paper shows an implementation of firefly algorithm to perform clustering in wireless sensor networks. Simulation results...
In this paper, new modified algorithm MMPSO is presented. Modified Mean Particle Swarm Optimization has been done by updating the direction of each particle in the range of search space [-100, 100]. This modified approach to increase the efficiency and improved the convergence speed of standard particle swarm optimization algorithm. It can be tested on five benchmark problems and comparing the performance...
This paper presents strategy of particle swarm optimization (PSO) algorithm introduced by Kennedy and Eberhart [1] for solving fractional programming problems. Particle swarm optimization (PSO) is a population-based optimization technique, which is an alternative tool to genetic algorithm (GA) and other evolutionary algorithms (EA) and has gained lot of attention in recent years. PSO is a stochastic...
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