Swarm Intelligence (SI) represents a paradigm shift in artificial intelligence, leveraging the collective behavior of decentralized, self-organized systems to solve complex problems. This study provides a comprehensive review of SI, focusing on its application to multi-robot systems. We explore foundational concepts, diverse SI algorithms, and their practical implementations by synthesizing insights from various reputable sources.…
AppliedMath Template
Write in a clean editor, then format for AppliedMath in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the AppliedMath format
AppliedMath is a peer-reviewed journal published by MDPI, covering Fractional Differential Equations Solutions, Nonlinear Waves and Solitons, Mathematical and Theoretical Epidemiology and Ecology Models. Over its lifetime it has published 471 papers, which have received 807 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. AppliedMath 2023, 12, 45–58.
Formats any DOI in AppliedMath style. No sign-up. |
| Publishes research in | Fractional Differential Equations Solutions Nonlinear Waves and Solitons Mathematical and Theoretical Epidemiology and Ecology Models Iterative Methods for Nonlinear Equations Numerical methods for differential equations |
| ISSN | 2673-9909 |
| Citation impact (2-yr) | 1.14 |
| h-index | 12 |
| i10-index | 13 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | University of Thessaly |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in AppliedMath per year
Citation impact of AppliedMath by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in AppliedMath
The rapid advancement of machine learning and deep learning techniques has revolutionized stock market prediction, providing innovative methods to analyze financial trends and market behavior. This review paper presents a comprehensive analysis of various machine learning and deep learning approaches utilized in stock market prediction, focusing on their methodologies, evaluation metrics, and datasets. Popular models…
This research studies the occurrence of data breaches in healthcare provider settings regarding patient data. Using visual analytics and data visualization tools, we study the distribution of healthcare breaches by state. We review the main causes and types of breaches, as well as their impact on both providers and patients. The research shows a range…
Hepatocellular carcinoma (HCC) is the primary liver cancer that occurs the most frequently. The risk of developing HCC is highest in those with chronic liver diseases, such as cirrhosis brought on by hepatitis B or C infection and the most common type of liver cancer. Knowledge-based interpretations are essential for understanding the HCC microarray dataset…
In general, customers are looking to receive their orders in the fastest time possible and to make purchases at a reasonable price. Consequently, the importance of having an optimal delivery time is increasingly evident these days. One of the structures that can meet the demand for large supply chains with numerous orders is the hierarchical…