Overview
Evo* 2026 is set to be a significant event in the field of bio-inspired artificial intelligence, scheduled to take place from April 8 to 10, 2026, in Toulouse, France. This conference serves as a platform for researchers to share their findings and innovations in evolutionary computation and related areas. The extended deadline for paper submissions is November 15, 2025, allowing ample time for contributors to prepare their work.
Background & Relevance
The Evo* conference series has a rich history, stemming from workshops initiated by EvoNet, a network focused on evolutionary computing. This event brings together experts and enthusiasts from around the globe to discuss advancements in evolutionary algorithms and their applications. The significance of this conference lies in its commitment to fostering collaboration and innovation in the AI community, particularly in the realm of bio-inspired methodologies.
Key Details
- Submission Deadline: November 15, 2025
- Conference Dates: April 8-10, 2026
- Location: Toulouse, France
- Special Track: 5th special joint track on Evolutionary Machine Learning
- Publication: Accepted papers will be published in the Springer Nature Lecture Notes in Computer Science (LNCS) series.
- Conference Website: Evo* 2026
Eligibility & Participation
The call for papers is open to researchers, practitioners, and students interested in the field of evolutionary computation and its applications. Participants are encouraged to submit their original research work that contributes to the understanding and advancement of bio-inspired AI techniques.
Submission or Application Guidelines
To participate, authors should prepare their manuscripts according to the guidelines provided on the conference website. Submissions must be made electronically through the designated platform before the deadline. Detailed instructions regarding formatting and submission procedures can be found on the Evo* 2026 website.
Additional Context / Real-World Relevance
The Evo* conference series plays a crucial role in the ongoing dialogue about the integration of evolutionary principles in artificial intelligence. As AI continues to evolve, understanding how natural processes can inform algorithmic design is increasingly important. This conference not only highlights current research but also sets the stage for future innovations in the field.
Conclusion
Evo* 2026 presents a valuable opportunity for researchers and practitioners to engage with the latest developments in bio-inspired AI. Interested individuals are encouraged to submit their papers and participate in this pivotal event, contributing to the collective advancement of knowledge in evolutionary computation.
Category: CFP & Deadlines
Tags: evolutionary computation, bio-inspired ai, evo*, machine learning, eurogp, evocp, evomusart, evoapplications, artificial intelligence
