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Swarm Intelligence - Springer Nature | 2024 Impact Factor:1.9 | Cite Score:5.8 | Q2

Swarm Intelligence Journal

Impact Factor and Journal Rank of Swarm Intelligence

  • About: Objective:
    Swarm Intelligence aims to provide a platform for researchers to publish high-quality research contributions in the field of swarm intelligence. The journal focuses on the study of decentralized, self-organized systems inspired by the collective behavior of social insects and other natural organisms.
  • Publication Focus:
    Algorithms and Models: Development and analysis of swarm intelligence algorithms, including particle swarm optimization, ant colony optimization, bee algorithms, and others. Theoretical Foundations: Mathematical and theoretical frameworks for understanding swarm behavior and emergent properties. Applications: Practical applications of swarm intelligence in optimization problems, robotics, data mining, pattern recognition, and other fields. Multi-agent Systems: Design and implementation of multi-agent systems based on swarm intelligence principles. Hybrid Approaches: Integration of swarm intelligence with other computational techniques to enhance performance and scalability.
  • Research Areas:
    Bio-inspired Computing: Utilization of biological principles for developing novel computational techniques. Social Insect Behavior: Insights from the behavior of ants, bees, termites, and other social insects applied to algorithm design. Complex Adaptive Systems: Study of adaptive systems that exhibit emergent collective behavior and self-organization. Evolutionary Computation: Evolutionary algorithms and genetic programming within the context of swarm intelligence. Robotics: Applications of swarm robotics, swarm-based control systems, and collective decision-making.
  • Contributions:
    Swarm Intelligence welcomes original research articles, reviews, and short communications that advance the theory, methods, and applications of swarm intelligence. The journal encourages interdisciplinary research that combines swarm intelligence with other fields to address complex problems.
  • Conclusion:
    Swarm Intelligence serves as a leading forum for researchers, engineers, and practitioners to exchange ideas and innovations in swarm intelligence methodologies. By publishing cutting-edge research and practical applications, the journal contributes to the advancement and adoption of swarm intelligence solutions across various domains.

  • Editor-in-Chief:  Heiko Hamann

  • Scope: Theoretical foundations of swarm intelligence
  • Algorithms and optimization techniques inspired by natural systems
  • Applications of swarm intelligence in engineering, robotics, biology, and social sciences
  • Swarm-based approaches such as ant colonies, particle swarms, and artificial bee colonies
  • Multi-agent systems and collective behavior
  • Hybrid swarm intelligence systems and their performance evaluation
  • Swarm robotics and autonomous collective systems
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1935-3812

    Electronic ISSN:  1935-3820

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  1.9

  • Subject Area and Category:  Biology, Computer Sciences, Physics and Space Sciences, Geology and Earth Sciences

  • Publication Frequency:  Quarterly

  • H Index:  47

  • Best Quartile:

    Q1:  

    Q2:  Geometry and Topology

    Q3:  

    Q4:  

  • Cite Score:  5.8

  • SNIP:  1.286

  • Journal Rank(SJR):  0.651