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 …

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 …

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

1.1 Antecedentes La Optimización Global (OG)[1, 2] tiene aplicaciones en diversas áreas de
ciencia [3], economía [4, 5], ingeniería [6] y otras donde se requiere por definición el uso de …

In this paper, a novel PSO based metaheuristic is proposed. This described approach is
inspired by human gathering mechanisms. Each particle is given a possibility to follow a …

Optimisation is a branch of mathematics that was developed to find the optimal solutions,
among all the possible ones, for a given problem. Applications of optimisation techniques …

Clustering techniques suffer from fact that once they are merged or split, it cannot be undone
or refined. Considering the stability of the Genetic Algorithm and the local searching …

abstract Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm
intelligence algorithms that is widely used for optimization purposes in static environments …