In recent years, various metaheuristic optimization methods have been proposed in scientific
and engineering fields. In this study, a novel physics-inspired metaheuristic optimization …

This paper introduces the Human Evolutionary Optimization Algorithm (HEOA), a
metaheuristic algorithm inspired by human evolution. HEOA divides the global search …

Meta-heuristic algorithms have gained substantial popularity in recent decades and have
focused on applications in a wide spectrum of fields. In this paper, a new and powerful …

For many wireless sensor networks applications, a powerful localization algorithm is
required to determine the exact positions of sensor nodes. In this paper, a new localization …

Accepted: 25 May 2020 The brain MR image analysis is a primary non-invasive component
to detect any abnormality in the brain. It is a very important application in the field of medical …

The approximate degree reduction of ball non-uniform rational B-splines (NURBS) curves is
a pivotal and knotty technique in computer-aided design/computer-aided manufacture. As …

Accepted: 12 February 2020 Meta heuristic algorithms are very important methods, they
used mainly in solving combinatorial optimization problems. They are stochastic in manner …

Previous works have proposed various techniques to address the premature convergence
problem, where candidate solutions get trapped in local optima instead of reaching the …

Background. In today's digital era, the use of technology in education is becoming
increasingly important. Mobile learning in the form of Articulate Storyline application offers …

Background. This research aims to create a Doratoon application-based learning media
product to train children's understanding of faith in God's angels using the Doratoon …