Surrogate-model-assisted uncertainty treatment practices have been the subject of
increasing attention and investigations in recent decades for many symmetrical engineering …

Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

An intelligent bionic algorithm with great global optimization potential, the genetic algorithm
evolved in a manner analogous to the natural process of genetic evolution in living …

A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …

Optimisation-based methods are enormously used in the field of data classification. Particle
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …

In recent years, advanced magnetic resonance imaging (MRI) methods including as
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …

Particle Swarm Optimization (PSO) has been widely used to solve various types of
optimization problems. An efficient algorithm must have symmetry of information between …

Different computational tools require random numbers to operate; this is the case with Meta-
heuristic Algorithms (MA's). Many studies in the literature have demonstrated that the spatial …

Fire hawk Optimizer (FHO) is a relatively new intake in the family of evolutionary algorithms
for a distinct type of optimization problem. Initialization of the population plays a significant …