Swarm and Evolutionary Computation

Aims & Scope

Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms.

It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations.

Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence.

Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.

Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	8.5

SJR (SCImago Journal Rank)

Year	Value
2024	1.890

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	109

Journal Rank

Year	Value
2024	1594

Journal Citation Indicator

Year	Value
2024	5006

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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 and Mathematics, 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.

• A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

  Citation: 4719

  Authors: Joaquín, Salvador, Daniel, Francisco

• Multiobjective evolutionary algorithms: A survey of the state of the art

  Citation: 1857

  Authors: Aimin, Bo-Yang, Hui, Shi-Zheng, Ponnuthurai Nagaratnam, Qingfu

• Recent advances in differential evolution – An updated survey

  Citation: 1391

  Authors: Swagatam, Sankha Subhra, P.N.

• Surrogate-assisted evolutionary computation: Recent advances and future challenges

  Citation: 1180

  Authors: Yaochu

• A comprehensive review of firefly algorithms

  Citation: 1037

  Authors: Iztok, Iztok, Xin-She, Janez

• Constraint-handling in nature-inspired numerical optimization: Past, present and future

  Citation: 949

  Authors: Efrén, Carlos A.

• S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization

  Citation: 942

  Authors: Seyedali, Andrew

• A novel nature-inspired algorithm for optimization: Squirrel search algorithm

  Citation: 804

  Authors: Mohit, Vijander, Asha

• A comprehensive survey: Whale Optimization Algorithm and its applications

  Citation: 629

  Authors: Farhad Soleimanian, Hojjat

• Memetic algorithms and memetic computing optimization: A literature review

  Citation: 565

  Authors: Ferrante, Carlos

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