A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

This is largely due to 1) a lack of communication and collaboration between the machine
learning research community and natural scientists, 2) a lack of communication about …

This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …

The buckling behavior of columns, as the most influential members regarding the stability of
structures, has been a long-standing field of interest. Moreover, due to the conservative …

Hybrid quantum–classical systems make it possible to utilize existing quantum computers to
their fullest extent. Within this framework, parameterized quantum circuits can be regarded …

Abstract This study introduces Polar Lights Optimization (PLO), an algorithm based on the
aurora phenomenon or polar lights. The aurora is a unique natural spectacle that occurs …

An efficient swarm intelligence algorithm is proposed to solve continuous multi-type
optimization problems, named the fata morgana algorithm (FATA). By mimicking the process …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

The learning process of artificial neural networks is considered as one of the most difficult
challenges in machine learning and has attracted many researchers recently. The main …

As the volume of data generated by information systems continues to increase, machine
learning (ML) techniques have become essential for the extraction of meaningful insights …