The 20th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2025) took place from November 7 to 9 at the Ramada Plaza Optics Valley Hotel in Wuhan. Organized by Huazhong University of Science and Technology (HUST), with co-organization by Wuhan University of Science and Technology and the Hubei Operations Research Society, the event was hosted by HUST's School of Artificial Intelligence and Automation. The conference attracted over 100 experts and scholars, providing a high-level international forum for researchers in bio-inspired computing to discuss cutting-edge theories, methods, and applications through keynote speeches, parallel sessions, and poster presentations.
Chaired by Professors Liang Gao and Linqiang Pan of HUST, the conference featured nine distinguished keynote and tutorial speakers. Professor Linqiang Pan of HUST served as the host, while Professor Zhigang Zeng, Dean of the School of Artificial Intelligence and Automation, delivered the opening address, highlighting the significance of bio-inspired computing and the school’s research advancements.
Professor Gary G. Yen(Sichuan University) explored the integration of evolutionary algorithms with diffusion models for large-scale dynamic multi-objective optimization, offering new perspectives for generative AI-driven optimization.
Professor Min Li(Central South University) discussed AI-driven drug target prediction and molecular design, demonstrating how deep learning accelerates drug development.
Professor Da Han(Chinese Academy of Medical Sciences) presented advances in nucleic acid-inspired biocomputing, emphasizing high-parallelism, low-energy computational models.
Professor Qingchen Zhang(Hainan University) shared biomarker mining techniques to predict toxicity responses in cancer immunotherapy, leveraging machine learning for personalized treatment.
Professor Handing Wang(Xidian University) delivered a tutorial on problem-driven bilevel optimization, addressing modeling and algorithmic challenges in engineering applications.
Professor Yiping Liu(Hunan University) outlined intelligent drug molecule design and synthesis using deep generative models.
Professor Ying Bi(Zhengzhou University) reviewed advances in genetic programming, including multi-objective approaches and semantic-aware search.
Associate Professor Yaowen Yu(HUST) proposed a deep reinforcement learning framework for strategic bidding in electricity markets, integrating job-shop scheduling constraints.
Associate Professor Xuanying Zhou(National University of Defense Technology) presented the artificial fish swarm algorithm’s applications in parameter identification for complex systems.
Parallel sessions and poster presentations facilitated in-depth exchanges among participants. Authors presented research through speeches and slides, while poster sessions enabled face-to-depth discussions on technical details and potential collaborations.
The conference concluded with closing remarks by Professor Linqiang Pan, who presented the Best Paper Award and thanked attendees for their contributions. BIC-TA 2025 successfully promoted interdisciplinary dialogue and inspired new directions for bio-inspired computing research.
