Paper Details

Name: Geetu
Country: India

Year: 2024
Volume: Volume-11, Issue-1, Special (January-June)
Page Number: 5-9

One aspect of artificial intelligence is swarm intelligence (SI). It is becoming more and more popular as complexity forces less-than-ideal solutions into the picture. It belongs to the machine learning (ML) field. A few SI methods have applications in machine learning. These algorithms either work alone or in combination with other algorithms. SI serves as the foundation for machine learning, fine-tuning the parameters of the model. The collective behaviour of a group of animals is known as swarm intelligence. Swarms can be seen in a variety of settings, such as ant colonies, fish schools, and flocks of birds. which describe the biology of ants, their activities, and how they help birds overcome obstacles. The Bee Colony Optimization monitors and investigates bee behaviour, connections, mobility, and swarm interactions. This study investigates the issues of swarm intelligence and swarm intelligence-based algorithms like ACO, PSO, GA, and FA in the field of machine learning.
KEYWORDS: Swarm Intelligence (SI), Machine Learning (ML), Genetic Algorithms, Optimization, Particle Swarm Optimization, Ant Colony Optimization, Firefly Algorithm.