Evolutionary Intelligence

Publishing model:: Hybrid

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Overview

Evolutionary Intelligence is dedicated to publishing advances in the field of evolutionary intelligence.

Explores both theoretical and practical aspects of population-based searches for artificial intelligence.
Covers techniques like rule-based systems, artificial neural networks, fuzzy systems, and more.
Features topics such as memory, vision, planning, robotics, and cognitive science.
Includes papers describing applications in data mining, adaptive control, medical and bioinformatics, and more.

Editors-in-Chief

Stefania Tomasiello

Editor-in-Chief

Vincenzo Loia

Journal Impact Factor: 2.3 (2023)

5-year Journal Impact Factor: 2.4 (2023)

Submission to first decision (median): 23 days

Downloads: 152,598 (2024)

Journal updates

Special Issue proposal guidelines

Guidance on submitting and managing a Special Issue with EVIN.
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Journal information

Electronic ISSN: 1864-5917
Print ISSN: 1864-5909
Abstracted and indexed in: ACM Digital Library

Baidu

CLOCKSS

CNKI

CNPIEC

DBLP

Dimensions

EBSCO

EI Compendex

Emerging Sources Citation Index

Google Scholar

INSPEC

Japanese Science and Technology Agency (JST)

Naver

OCLC WorldCat Discovery Service

Portico

ProQuest

SCImago

SCOPUS

TD Net Discovery Service

UGC-CARE List (India)

Wanfang
Copyright information: Rights and permissions

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