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 …

Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …

In recent years, the cuckoo search (CS) algorithm has been successfully applied to single-
objective optimization problems. But in real life, most optimization problems are multi …

This research centres on developing a Home Electricity Management (HEM) system, a
pivotal component within the modern supply chain for home electrical power. The system …

In this paper, the meta-heuristic multi-objective elitist teaching–learning based optimization
technique is implemented for wind farm layout discrete optimization problem. The …