Particle swarm optimization (PSO) is a stochastic algorithm used for the optimization
problems proposed by Kennedy [1] in 1995. It is a very good technique for the optimization …

Abstract Particle Swarm Optimization has been extensively researched and applied to tackle
optimization problems due to the ease in implementation and less number of parameters to …

In the last few years, bio-inspired optimization techniques have been widely adopted in
fields such as computer science, mathematics, and biology in order to optimize solutions …

Abstract The performance of Neural Networks (NN) depends on network structure, activation
function and suitable weight values. For finding optimal weight values, freshly, computer …

Abstract Content Based Image Retrieval (CBIR) is one of the fastest growing research areas
in the domain of multimedia. Due to the increase in digital contents these days, users are …

Particle swarm optimization (PSO) is a stochastic algorithm, used for the optimization
problems, proposed by Kennedy [1] in 1995. PSO is a recognized algorithm for optimization …

The Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic
search technique encouraged from the intrinsic manner of bee swarm seeking for their food …

Particle Swarm is a heuristic technique based on collective behavior of birds. Several
researches depicts that the PSO suffers from untimely convergence. To defeat the issue of …

One of the major challenges for the CBIR is to bridge the gap between low level features
and high level semantics according to the need of the user. To overcome this gap, relevance …

Rapid development of multimedia technologies made Content Based Image Retrieval
(CBIR) an energetic research area for the researchers of multimedia domain. Texture and …