The International Journal of Bio-inspired Computation (IJBIC) focuses on the latest research and developments in the field of bio-inspired computation. This journal covers a broad spectrum of topics related to the innovative methodologies and applications inspired by natural biological systems.
Publication Types:
IJBIC publishes various types of articles, including:
Research Articles: Original research contributions that advance the theory and application of bio-inspired computation.
Review Papers: Comprehensive reviews of the current state-of-the-art in bio-inspired computation.
Application Papers: Practical applications of bio-inspired algorithms in real-world scenarios.
Technical Notes: Shorter papers presenting novel methodologies or significant improvements to existing techniques.
Impact and Contribution:
The International Journal of Bio-inspired Computation plays a crucial role in advancing the field by providing a platform for researchers to publish high-quality, peer-reviewed research. The journal facilitates the exchange of ideas and promotes collaboration among researchers and practitioners worldwide, influencing both theoretical advancements and practical applications of bio-inspired algorithms.
Journal Home:  Journal Homepage
Editor-in-Chief:  Prof. Zhihua Cui
scope:
The International Journal of Bio-inspired Computation (IJBIC) focuses on publishing high-quality research articles that explore and apply bio-inspired computation methods across various domains. Bio-inspired computation refers to computational techniques and algorithms inspired by biological systems and processes.
Key topics covered in the journal include:
Evolutionary Computation: Algorithms and models inspired by the process of natural selection and genetic evolution, including genetic algorithms, genetic programming, and evolutionary strategies.
Swarm Intelligence: Techniques inspired by the collective behavior of decentralized, self-organized systems, such as ant colonies, bird flocking, and fish schooling, including particle swarm optimization and ant colony optimization.
Artificial Immune Systems: Computational systems inspired by the principles and processes of the biological immune system, used for tasks like anomaly detection, pattern recognition, and optimization.
Neural Networks: Computational models inspired by the structure and functioning of the human brain, including artificial neural networks, deep learning, and neuromorphic computing.
Artificial Life: Studies and simulations of life-like behaviors in artificial systems, encompassing areas such as self-replication, artificial chemistry, and autonomous agents.
Biologically Inspired Robotics: Design and control of robots inspired by biological organisms, including soft robotics, biomimetic actuators, and sensors.
Print ISSN:   1758-0374
Electronic ISSN:  1758-0366
Abstracting and Indexing:  Science Citation Index Expanded, Scopus.
Imapct Factor 2023:  3.5
Subject Area and Category:  Computer Sciences, Mathematics
Publication Frequency:  Bimonthly
H Index:  44
Q1:  
Q2:  Computer Science (miscellaneous)
Q3:  
Q4:  
Cite Score:  5.1
SNIP:  0.543
Journal Rank(SJR):  0.416
Latest Articles:   Latest Articles in International Journal of Bio-inspired Computation
Guidelines for Authors: International Journal of Bio-inspired Computation Author Guidelines
Paper Submissions: Paper Submissions in International Journal of Bio-inspired Computation
Publisher:  Inderscience Enterprises Ltd
Country:  Switzerland