The size, nature, and diversity of the initial population of population-based metaheuristic
algorithms and the number of times the algorithm iterates play a significant role in the …

A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

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 …

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 …

Bat algorithm (BA) has the advantage of fast convergence, but there is still room for
improvement in accuracy and stability of solution. An efficient and robust fusion bat algorithm …

Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …

Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

The reverse transcriptase polymerase chain reaction (RT‐PCR) is still the routinely used test
for the diagnosis of SARS‐CoV‐2 (COVID‐19). However, according to several reports, RT …

Artificial neural networks (ANN) have been widely used in the field of data classification.
Normally, training of neural network is applied with the traditional back propagation …

Temperature is critical to the growth of crops in agricultural greenhouses. Thus, designing a
greenhouse temperature controller that maximizes energy savings while maintaining control …