Open AccessA comparative Evaluation of Swarm Intelligence Algorithm Optimization: A Review
Author(s) -
Shahab Wahhab Kareem,
Shavan Askar,
Roojwan Hawezi,
Glena Aziz Qadir,
Dina Y. Mikhail
Publication year - 2021
Publication title -
journal of electronics, electromedical engineering, and medical informatics
Language(s) - English
Resource type - Journals
ISSN - 2656-8632
DOI - 10.35882/jeeemi.v3i3.1
Subject(s) - swarm intelligence , swarm behaviour , ant colony optimization algorithms , particle swarm optimization , computer science , artificial intelligence , collective behavior , metaheuristic , multi swarm optimization , swarm robotics , parallel metaheuristic , ant colony , popularity , mathematical optimization , machine learning , mathematics , sociology , psychology , anthropology , social psychology
Swarm intelligence (SI), an important aspect of artificial intelligence, is increasingly gaining popularity as more and more high-complexity challenges necessitate solutions that are sub-optimal but still feasible in a fair amount of time. Artificial intelligence that mimics the collective behavior of a group of animals is known as swarm intelligence. Attempting to survive. It is primarily influenced by biological systems. The main aim of our article is to find out more about the guiding principle, classify possible implementation areas, and include a thorough analysis of several SI algorithms. Swarms can be observed in ant colonies, fish schools, bird flocks, among other fields. During this article, we will look at some Swarm instances and their behavior. We see many Swarm Intelligence systems, like Ant colony Optimization, which explains ant activity, nature, and how they conquer challenges; in birds, we see Particle Swarm Optimization is a swarm intelligence-based optimization technique, and how the locations must be positioned based on the three concepts. The Bee Colony Optimization follows, and explores the behavior of bees, their relationships, as well as movement and how they work in a swarm. This paper explores some of the methods and algorithms.