TL;DR
Swarm intelligence, inspired by biological systems, is a key area of bio-inspired computing that leverages collective behaviors to solve complex problems in computing and communication.
Contribution
This paper provides an introductory overview of swarm intelligence, highlighting its biological inspiration and its role within the broader context of bio-inspired computing.
Findings
Swarm intelligence is effective in solving complex computational problems.
It is part of a larger suite of bio-inspired computing methods.
Biologically inspired mechanisms have advanced computing and communication systems.
Abstract
Biologically inspired computing is an area of computer science which uses the advantageous properties of biological systems. It is the amalgamation of computational intelligence and collective intelligence. Biologically inspired mechanisms have already proved successful in achieving major advances in a wide range of problems in computing and communication systems. The consortium of bio-inspired computing are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, DNA computing and quantum computing, etc. This article gives an introduction to swarm intelligence.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMolecular Communication and Nanonetworks