Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous
optimization. For these reasons DE has often been employed for solving various …

Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …

In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …

The shape optimization of developable surfaces is a pivotal and knotty technique in
CAD/CAM and used in many product manufacturing planning operations, eg, for ships …

As solar energy generation has become more and more important for the economies of
numerous countries in the last couple of decades, it is highly important to build accurate …

Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …

Abstract Whale Optimization Algorithm (WOA), as a newly developed meta-heuristic
algorithm, performs well in solving optimization problems. A WOA with chaos mechanism …

Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …