Research Topic · Peer-Reviewed

Adaptive Systems

Adaptive systems are computer systems that can learn, evolve, and adjust to changing environments and situations. They are designed to provide better solutions to problems and increase efficiency and accuracy. Adaptive systems can be used in various fields including artificial intelligence, control and robotics, bio…

Curated from this journal's research 📚 6 peer-reviewed articles cited Cited 59× across the literature 🔖 ISSN 2689-4602 🗓 Reviewed June 2026

Overview

Adaptive systems are computer systems that can learn, evolve, and adjust to changing environments and situations. They are designed to provide better solutions to problems and increase efficiency and accuracy. Adaptive systems can be used in various fields including artificial intelligence, control and robotics, bioinformatics, and data mining. These systems are essential for improving decision-making, data analysis, and automated problem-solving. They can provide cost-effective and efficient solutions to problems that would otherwise take significant resources to solve. Adaptive systems can enable more effective and accurate decision-making in a range of sectors such as healthcare, business, finance, and government.

Research published in this journal

6 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 6 articles above have been cited 59 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

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

Editorial oversight

Curated from peer-reviewed research published in Evolutionary Science (ISSN 2689-4602).

Journal editorial board
Maria Luisa Chiusano · Italy Adina-Elena Segneanu · Romania George Mikhailovsky · United States

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