Evolutionary Intelligence

Aims & Scope

This Journal provides an international forum for the timely publication and dissemination of foundational and applied research in the domain of Evolutionary Intelligence.

The spectrum of emerging fields in contemporary artificial intelligence, including Big Data, Deep Learning, Computational Neuroscience bridged with evolutionary computing and other population-based search methods constitute the flag of Evolutionary Intelligence Journal.

Topics of interest for Evolutionary Intelligence refer to different aspects of evolutionary models of computation empowered with intelligence-based approaches, including but not limited to architectures, model optimization and tuning, machine learning algorithms, life inspired adaptive algorithms, swarm-oriented strategies, high performance computing, massive data processing, with applications to domains like computer vision, image processing, simulation, robotics, computational finance, media, internet of things, medicine, bioinformatics, smart cities, and similar.

Surveys outlining the state of art in specific subfields and applications are welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.6
2024	2.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.609

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	44

Journal Rank

Year	Value
2024	9521

Journal Citation Indicator

Year	Value
2024	1794

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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, Mathematics and Neuroscience, 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.

• Convolutional neural networks in medical image understanding: a survey

  Citation: 632

  Authors: D. R., Raghavendra V.

• Neuroevolution: from architectures to learning

  Citation: 512

  Authors: Dario, Peter, Claudio

• Genetic fuzzy systems: taxonomy, current research trends and prospects

  Citation: 454

  Authors: Francisco

• Genetic algorithms: theory, genetic operators, solutions, and applications

  Citation: 345

  Authors: Bushra, Arafat

• Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis

  Citation: 320

  Authors: G. Thippa, M. Praveen Kumar, Kuruva, Dharmendra Singh, Rajesh, Gautam

• Performance evaluation of Botnet DDoS attack detection using machine learning

  Citation: 192

  Authors: Tong Anh, Hoang Viet, Le Hoang, Raghvendra, Ishaani, Nguyen Thi Kim

• Swarm intelligence based algorithms: a critical analysis

  Citation: 159

  Authors: Xin-She

• Precision–recall curve (PRC) classification trees

  Citation: 143

  Authors: Jiaju, Wei

• Emperor Penguins Colony: a new metaheuristic algorithm for optimization

  Citation: 137

  Authors: Sasan, Madjid, Javad, Sadoullah

• Optimization using lion algorithm: a biological inspiration from lion’s social behavior

  Citation: 130

  Authors: Rajakumar

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