International Journal of Bio-Inspired Computation

International Journal of Bio-Inspired Computation is published by Inderscience Publishers and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications, together about 47.5% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)

New bio-inspired methodologies coming from creatures living in nature artificial society physical/chemical phenomena New bio-inspired methodology analysis tools, e.g. rough sets, stochastic processes Brain-inspired methods: models and algorithms Bio-inspired computation with big data: algorithms and structures Applications associated with bio-inspired methodologies, e.g. bioinformatics More on this journal... ObjectivesThe major goal of IJBIC is the publication of new research results on bio-inspired computation methods and their applications. IJBIC provides the scientific community and industry with a vehicle whereby ideas using two or more conventional and computational intelligence based techniques can be discussed. Bio-inspired computation is an umbrella term for different computational approaches that are based on principles or models of biological systems. This class of methods, such as evolutionary algorithms, ant colony optimisation, and swarm intelligence, complements traditional techniques in the sense that the former can be applied to large-scale applications where little is known about the underlying problem and where the latter approaches encounter difficulties. Therefore, bio-inspired methods are becoming increasingly important in the face of the complexity of today's demanding applications, and accordingly they have been successfully used in various fields ranging from computer engineering and mechanical engineering to chemical engineering and molecular biology. IJBIC is especially intended for furthering the overall understanding of new algorithms simulated with various bio-phenomena beyond the current focus, i.e. genetic algorithms, Tabu search, etc. Its objective is improvement in theory and applications of the bio-computation field. Algorithms should therefore be carefully designed and appropriately analysed, and authors are encouraged to assess the statistical validity of their results whenever possible. ReadershipIJBIC is aimed at professionals, academics, students, researchers and policy makers who are interested in the potential of bio-inspired techniques for solving problems. In particular, this includes people with backgrounds in computer science, mathematics, engineering, and quantitative management science.ContentsIJBIC publishes high-quality original papers, review articles and technical reports. Conference papers may be accepted if they have been substantially extended. Special issues of the journal that focus in on a particula

From the journal's Aims & Scope

Research area (LetPub): COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

Editor-in-chief Zhihua CuiPublisher website

CAS Journal Ranking

Database indexing

SCIEScopusLetPub

International journal early-warning lists: not listed in any editionLetPub

Indexing the journal's website claims

EI CompendexINSPECDBLPPublisher website

Other: ProQuest

As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.

Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.

Impact

Impact factor

1.89LetPub · 2026-09-13

Impact factor (publisher) 2025

2Publisher website · 2026-09-29

5-year impact factor (publisher)

1.5Publisher website · 2026-09-29

CiteScore 2026-06

3.8LetPub · 2026-09-13

CiteScore (publisher) 2025

3.8Publisher website · 2026-09-29

SJR 2026-06

0.37LetPub · 2026-09-13

SNIP 2026-06

0.52LetPub · 2026-09-13

h-index

33LetPub · 2026-09-13

h-index

48OpenAlex · 2026-10-01

i10-index

308OpenAlex · 2026-10-01

2-year mean citedness

0.79OpenAlex · 2026-10-01

Self-citation rate

15%LetPub · 2026-09-13

Share of gold OA articles

0.78%LetPub · 2026-09-13

Volume

Articles per year

44LetPub · 2026-09-13

Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.

Average review time (community reports)

over 12 weeksLetPub · 2026-09-13

Average acceptance (community reports)

EasyLetPub · 2026-09-13

Peer review

Double anonymous peer reviewPublisher website

Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.

No source has fee information yet; check the journal's website.

The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.

Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.

Publisher

Inderscience Publishers

Country or region

ENGLAND

Language

English

ISSN

1758-0366

Electronic ISSN

1758-0374

Official links

• Journal homepage ↗OpenAlex
• Submission system ↗LetPub