Recently, an explosive growth in the potential use of natural metaphors in modelling and
solving large-scale non-linear optimization problems. Artificial neural network (ANN) is a …

The contribution of COVID-19 pandemic to marine litter pollution was studied in Mombasa,
Kilifi, and Kwale counties of Kenya, in June 2020 (100 days following the first confirmed …

Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …

The ant colony optimization (ACO) algorithm has the characteristics of positive feedback,
essential parallelism, and global convergence, but it has the shortcomings of premature …

Diabetes is a chronic health condition that impairs the body's ability to convert food to
energy, recognized by persistently high levels of blood glucose. Undiagnosed diabetes can …

Sažetak In this study, we used a particle swarm optimization (PSO) algorithm to address a
variation of the non-deterministic polynomial-time NP-hard traveling tournament problem …

In this paper we proposed a novel procedure for training a feedforward neural network. The
accuracy of artificial neural network outputs after determining the proper structure for each …

This paper explores a novel way for analyzing tournament structures. Our goal is to find the
best suitable tournament under considered purposes. Aside from the number of matches, we …

In this paper, the authors propose a coevolutionary algorithm using an ensemble learning
approach (E-SOCA) to simultaneously solve both feature subset selection and optimal …

This paper proposes a multi-objective competitive co-evolutionary algorithm (MOCPCEA)
based on the PreyPredator model to solve classification problems. In the MOCPCEA, a data …