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The recent research trends have shown that ACO based routing is a research topic of high interest in Wireless Sensor Networks (WSNs). The literature found survey articles on ACO based routing algorithms for WSNs concentrates only on the parameter considered and method employed for pheromone update and decay in the algorithm. Authors could not find much survey article which clearly explains the content...
Particle Swarm Optimization (PSO), analogous to behaviour of bird flocks and fish schools, has emerged as an efficient global optimizer for solving nonlinear and complex real world problems. The performance of PSO depends on its parameters to a great extent. Among all other parameters of PSO, Inertia weight is crucial one that affects the performance of PSO significantly and therefore needs a special...
The search progress of swarm intelligent algorithms is a kind of complex system evolution. Definitions of pure diversification search and pure intensification search are first given based on detail analysis on search characteristics of swarm intelligent algorithms. Then the pure intensification search is recognized as the essential reason of stagnation based on a detail quantitative on the degree...
In this paper, an improved Discrete Particle Swarm Optimization (DPSO) algorithm is proposed to solve the uneven clustering problem, a difficult problem in Wireless Sensor Networks (WSNs) area. An uneven clustering result leads to severe energy imbalance in WSNs, which shortens the life time of networks. This paper presents a strategy to obtain good clustering result by directly using an improved...
Magnetic resonance imaging (MRI) is a widely used method to obtain high quality medical image of the brain. Post-processing MR images with segmentation algorithms enhances the visualization and measurement of soft tissues and lesions. However, the conventional algorithms are not perfect and there are still some regions which are not partitioned accurately. In this paper, a new ant colony algorithm...
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