Swarm Intelligence

Aims & Scope

Swarm Intelligence is the principal peer-reviewed publication dedicated to reporting on research and developments in the multidisciplinary field of swarm intelligence.

The journal publishes original research articles and occasional review articles on theoretical, experimental and/or practical aspects of swarm intelligence.

All articles are published both in print and in electronic form.

There are no page charges for publication.

Swarm Intelligence is published quarterly.

The field of swarm intelligence deals with systems composed of many individuals that coordinate using decentralized control and self-organization.

In particular, it focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment.

It is a fast-growing field that encompasses the efforts of researchers in multiple disciplines, ranging from ethology and social science to operations research and computer engineering.

Swarm Intelligence will report on advances in the understanding and utilization of swarm intelligence systems, that is, systems that are based on the principles of swarm intelligence.

The following subjects are of particular interest to the journal: • modeling and analysis of collective biological systems such as social insect colonies, flocking vertebrates, and human crowds as well as any other swarm intelligence systems; • application of biological swarm intelligence models to real-world problems such as distributed computing, data clustering, graph partitioning, optimization and decision making; • theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	2.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.651

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	47

Journal Rank

Year	Value
2024	8838

Journal Citation Indicator

Year	Value
2024	147

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Particle swarm optimization

  Citation: 3886

  Authors: Riccardo, James, Tim

• Swarm robotics: a review from the swarm engineering perspective

  Citation: 1310

  Authors: Manuele, Eliseo, Mauro, Marco

• ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems

  Citation: 428

  Authors: Carlo, Vito, Rehan, Giovanni, Arne, Manuele, Nithin, Eliseo, Gianni, Frederick, Mauro, Luca Maria, Marco

• The biological principles of swarm intelligence

  Citation: 427

  Authors: Simon, Jacques, Guy

• Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions

  Citation: 335

  Authors: K. N., D.

• Massively multi-robot simulation in stage

  Citation: 240

  Authors: Richard

• Self-organized flocking in mobile robot swarms

  Citation: 228

  Authors: Ali E., Hande, Fatih, Erol

• An ant colony optimization approach to flexible protein–ligand docking

  Citation: 201

  Authors: Oliver, Thomas, Thomas E.

• Multiple objective ant colony optimisation

  Citation: 143

  Authors: Daniel, Clinton

• Ant colony optimization for real-world vehicle routing problems

  Citation: 142

  Authors: A. E., R., E., L. M.

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