International Journal of Bio-Inspired Computation

International Journal of Bio-Inspired Computation 由 Inderscience Publishers 出版，属中科院计算机科学大类（2025 升级版4区）。按 OpenAlex 近年发文统计，该刊主要发表 Metaheuristic Optimization Algorithms Research、Advanced Multi-Objective Optimization Algorithms、Evolutionary Algorithms and Applications 等主题的论文，这 3 个主题约占 47.5%，主导子领域为 Artificial Intelligence。（根据 OpenAlex 主题统计与中科院分区数据生成）

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

摘自期刊官网 Aims & Scope

研究方向（LetPub）：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

主编 Zhihua Cui出版商官网

中科院期刊分区表

数据库收录

SCIEScopusLetPub

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期刊官网自述收录

EI CompendexINSPECDBLP出版商官网

其他：ProQuest

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影响力指标

影响因子

1.89LetPub · 2026-09-13

影响因子（出版商公布） 2025

2出版商官网 · 2026-09-29

五年影响因子（出版商公布）

1.5出版商官网 · 2026-09-29

CiteScore 2026-06

3.8LetPub · 2026-09-13

CiteScore（出版商公布） 2025

3.8出版商官网 · 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

两年平均被引

0.79OpenAlex · 2026-10-01

自引率

15%LetPub · 2026-09-13

Gold OA 文章占比

0.78%LetPub · 2026-09-13

发文规模

年文章数

44LetPub · 2026-09-13

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平均审稿速度（社区反馈）

>12周，或约稿LetPub · 2026-09-13

平均录用比例（社区反馈）

容易LetPub · 2026-09-13

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出版商

Inderscience Publishers

出版国家或地区

ENGLAND

出版语言

English

ISSN

1758-0366

电子版 ISSN

1758-0374

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗LetPub