Exploration of Bio-Inspired Computing: 3rd Edition

Dear Colleagues,

In today’s rapidly evolving information technology era, bio-inspired computing, which mimics the behavior and evolutionary mechanisms of nature, has demonstrated unique advantages in solving complex problems. This approach provides innovative frameworks and optimization strategies capable of addressing the challenges of diversity and complexity emerging across fields such as data processing, automated design, dynamic optimization, and machine learning. This Special Issue, “Exploration of Bio-Inspired Computing: 3rd Edition,” aims to bring together the latest academic and industrial research advances in bio-inspired computing and to explore the future directions of this field.

We invite articles on innovations in bio-inspired algorithms, explorations of applications, theoretical analyses, and interdisciplinary applications. Topics of interest include, but are not limited to, evolutionary computing, neural networks, ant colony optimization, immune algorithms, swarm intelligence, deep learning optimization, neural architecture search, and more. Contributions that apply bio-inspired computing to fields such as healthcare, bioinformatics, smart cities, industrial engineering, and intelligent manufacturing are also welcome.

This Special Issue aims to serve as a high-quality platform for researchers and engineers to exchange knowledge and share technology developments, inspiring further innovation and collectively advancing the broader application and in-depth development of bio-inspired computing.

Prof. Dr. Changsheng Zhang
Dr. Haitong Zhao
Guest Editors

Manuscript Submission Information

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