Aims & Scope

The journal Bulletin of Computational Intelligence (BCI) is committed to publishing the most innovative and impactful research in Bulletin of Computational Intelligence (BCI) applied to the sciences, with a particular focus on computational mechanics in applied sciences. Its mission is to establish itself as a leading platform for advancing CI methodologies and demonstrating their transformative role in solving complex problems across all fields of applied sciences.  It is published quarterly online by Scilight Press.

Recognizing the interdisciplinary nature of applied sciences, the journal seeks to attract contributions from researchers and practitioners in diverse domains, including but not limited to engineering, physics, biology, materials science, and bioengineering. By fostering a broad research interest, BCI aims to unite scientists from various disciplines under the common goal of advancing CI applications to tackle pressing challenges in their respective fields.

The journal emphasizes the development and application of CI methods, including machine learning (ML), deep learning, and other artificial intelligence (AI) techniques, as well as fuzzy logic, evolutionary algorithms, and hybrid systems. Its scope encompasses applications in computational mechanics such as structural analysis, fluid dynamics, heat transfer, multi-physics simulations, optimization, material design, and dynamic systems. Emerging trends such as digital twins, advanced simulations, and Industry 4.0 technologies are also key areas of interest.

Building on the growing importance of CI techniques in applied sciences, BCI serves as a forum for original research, breakthrough discoveries, and state-of-the-art reviews. The journal prioritizes significant contributions that enhance decision-making, improve reliability, and foster innovation across diverse scientific and engineering disciplines.

BCI welcomes submissions of comprehensive research articles and short communications reporting major technical advancements and methodological innovations. Review articles by established leaders in the field are also encouraged, particularly those offering in-depth evaluations, comparisons, and critical insights into methodologies, applications, and emerging trends.

The journal provides authors with rigorous peer review, rapid publication, and broad visibility. It is committed to accepting only the most significant manuscripts while ensuring a swift evaluation process to minimize delays. By fostering interdisciplinary collaboration and advancing the integration of CI across applied sciences, BCI aspires to become a leading voice in this dynamic and rapidly evolving field.