About
The Journal of Swarm Intelligence and Evolutionary Computation is a peer-reviewed, open-access journal that aims to publish high-quality research papers, reviews, and short communications in the field of swarm intelligence and evolutionary computation. The journal aims to provide a platform for researchers, academics, and practitioners to publish and disseminate their latest research findings, insights, and innovations in the field. The journal invites submissions from researchers, academics, and practitioners working in the field of swarm intelligence and evolutionary computation. The journal accepts original research articles, review articles, short communications, and letters to the editor that contribute to the advancement of the field. The journal also welcomes submissions that describe new applications of swarm intelligence and evolutionary computation in various domains.
The journal welcomes the following types of contributions:
1. Original research articles
2. Extended Conference papers
3. Survey/Review articles, providing a comprehensive review on a scientific topic
4. Fast Communications: Short, self-contained articles on ongoing research, or reporting interesting, possibly tentative, ideas, or comments on previously published research
5. Technical Notes
Aims and Scope
The Journal of Swarm Intelligence and Evolutionary Computation is a peer-reviewed, open-access journal that aims to publish high-quality research papers, reviews, and short communications in the field of swarm intelligence and evolutionary computation. The journal aims to provide a platform for researchers, academics, and practitioners to publish and disseminate their latest research findings, insights, and innovations in the field.
The scope of the journal covers a broad range of topics related to swarm intelligence and evolutionary computation, including but not limited to:
- Swarm-based algorithms and systems design
- Swarm optimization and its applications in various fields such as robotics, finance, and engineering
- Swarm intelligence in artificial intelligence, machine learning, and pattern recognition
- Swarming in distributed computing, cloud computing, and big data analytics
- Bio-inspired swarm intelligence and its applications in various domains
- Multi-objective optimization using swarm intelligence techniques
- Hybrid swarm intelligence algorithms and their applications
- Evolutionary computation techniques, such as genetic algorithms, genetic programming, and evolutionary strategies
- Applications of evolutionary computation in various domains, including optimization, modeling, and simulation
- Hybrid approaches that combine swarm intelligence and evolutionary computation techniques
Bibliographic Information
Print ISSN: pending
Electronic ISSN: pending
DOI: 10.5281/zenodo
Registered with the National Library of Mauritius
Archival Content
Content published are archived on zenodo which is funded by CERN, OpenAIRE and the European Commission.
Open Access
Journal of Swarm Intelligence and Evolutionary Computation is an open access journal. All articles are immediately available to read and reuse upon publication. More information about our Open Access policy can be found on our open access page and copyright page.