Research Topic · Peer-Reviewed

Clonal Selection

Algorithm The Clonal Selection Algorithm (or CSA) is an Artificial Intelligence algorithm that replicates the process of natural immunological systems. It is an artificial immune system that is inspired by the real immune system of living organisms. In this algorithm, each solution is represented as an antibody and…

Curated from this journal's research 📚 1 peer-reviewed article cited Cited 1× across the literature 🗓 Reviewed June 2026

Overview

Algorithm The Clonal Selection Algorithm (or CSA) is an Artificial Intelligence algorithm that replicates the process of natural immunological systems. It is an artificial immune system that is inspired by the real immune system of living organisms. In this algorithm, each solution is represented as an antibody and is selected based on its fitness. CSA uses the mechanism of antibody production, selection and cloning of the best antibodies to come up with the solution. This algorithm has been successfully used to solve a variety of problems, such as robotics, scheduling, optimization, network security and classification. It is an efficient, robust and easy-to-implement algorithm that has the potential to achieve better results than other AI techniques.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

How this research is being cited

The 1 article above has been cited 1 time in the scholarly literature. Citation data via OpenAlex and Crossref, updated Oct 2025.

A sample of recent works citing this journal's research on Clonal Selection, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in International Journal of Cell.

Journal editorial board
Faiz Ul Amin · Korea, Democratic People's Rep Yuping Li · United States Hong WAN · United Kingdom

This page summarises published research for orientation; it is not medical or professional advice.