Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and
macro-scale properties of brain organization that shape complex patterns of spontaneous …

In this paper, we investigate the potential of using Large Language Models (LLMs) such as
GPT-4 to generate novel hybrid swarm intelligence optimization algorithms. We use the LLM …

Recent developments in Artificial intelligence (AI) have a vast transformative potential for
both cybersecurity defenders and cybercriminals. Anti-malware solutions adopt intelligent …

Firefly Algorithm (FA) refers to a swarm intelligence-based technique which appears to be
one of the most influential optimization algorithms in designing optimized controllers for …

The goal of this work is to propose a hybrid algorithm called real-coded self-organizing
migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self …

One of the key tasks in the economy is forecasting the economic agents' expectations of the
future values of economic variables using mathematical models. The behavior of …

This paper presents an obstacle avoidance algorithm for swarm robot in unknown
environment based on self-organizing migrating algorithm in which the trajectory is divided …

The goal of this work is to propose a hybrid algorithm, combining differential evolution
algorithm and tournamenting process, for solving constrained and bound-constrained …

Optical character recognition (OCR) systems help to digitize paper-based historical
achieves. However, poor quality of scanned documents and limitations of text recognition …

In this article, we outline a possible dynamics, structure, and a behavior of a hypothetical (up
to now) swarm malware as a background for a future antimalware system. We suggest how …