From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Particle swarm optimization (PSO) as a novel computational intelligence technique, has
succeeded in many continuous problems. But in discrete or binary version there are still …

The Particle Swarm Optimization (PSO) algorithm, as one of the latest algorithms inspired
from the nature, was introduced in the mid 1990s and since then, it has been utilized as an …

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …

In recent decades, many researchers have been interested in algorithms inspired by the
observation of natural phenomena to solve optimization problems. Among them, meta …

Sentiment classification is one of the important tasks in text mining, which is to classify
documents according to their opinion or sentiment. Documents in sentiment classification …

In this paper, we present a new algorithm binary discrete optimization method based on cat
swarm optimization (CSO). BCSO is a binary version of CSO generated by observing the …

Shear wave velocity (V s) is one of the most important features in seismic exploration,
reservoir development and characterization. Conventionally, V s is obtained from core …

Particle size distribution measurements can be used for permeability estimation, and it is
widely accepted that there exhibits a certain degree of correlation between permeability and …

This paper introduces a binary particle swarm optimization-based method to accomplish
optimal location of biomass-fuelled systems for distributed power generation. The approach …