Welcome to GPEML 2026
This event focuses on the frontier theories and applications of Genetic Programming (GP) and Evolutionary Machine Learning (EML).
Driven by the rapid advancement of computational intelligence, GP and EML are demonstrating vast potential across diverse domains, including:
Automated program generation
Feature engineering
Explainable AI (XAI)
Deep evolutionary learning
This forum will assemble leading experts and scholars from both home and abroad to jointly explore the latest research breakthroughs, core technologies, and their practical implementation in solving complex, real-world challenges.
Forum Topics
Forum Topics (including but not limited to):
- Theoretical developments and optimization strategies in GP
- Applications of evolutionary machine learning in deep learning and reinforcement learning
- The role of evolutionary computation in automated feature engineering and AutoML
- Multi-objective evolutionary optimization and explainable machine learning
- Evolutionary methods in computer vision and image processing
- Integration of GP with natural language processing and recommendation systems
- Practical application cases in industries such as healthcare, finance, and more
Organizers
[Organizer] College of Computer Science, Sichuan University
[Co-organizers]
- IEEE Computational Intelligence Society
- IEEE Computational Intelligence Society Chengdu Chapter
Date & Venue
- Time: July 24–26, 2026
- Venue: Wangjiang Hotel (No.42 Xiashahepu Street, Jinjiang District, 610066, Chengdu, Sichuan, China)
Schedule
The detailed technical program will include:
- Plenary and keynote sessions by leading researchers in GP and EML
- Oral presentations and poster sessions for accepted papers
- Panels on emerging topics such as evolutionary deep learning and explainable GP
- Focused discussion and collaboration slots on July 25 A full timetable (sessions by time slot and room) will be released closer to the event. For planning purposes, please refer to the summary schedule on the Program page and the PDF program when available.
Accommodation
Over the years, the symposium series aims to bring together leading researchers and practitioners in the field of Genetic Programming and Evolutionary Machine Learning. GPEML provides a platform for:
Research Presentations – Share the latest research findings in GP and EML
Networking – Connect with peers and experts in genetic programming and evolutionary machine learning
Smposium & Tutorials – Learn from leading researchers in automated program generation, feature engineering, and explainable AI
Industry Engagement – Explore real-world applications of evolutionary deep learning and computational intelligence
Venue hotel with discounted rates: see Accommodations with Discount for room types and booking instructions
Walking-distance options near the Huazhi Hotel for different budget levels
Early booking is strongly recommended; booking codes may be required to claim negotiated rates
For full details, please visit the dedicated accommodation page:
Transportation
- Within the city: GPEML 2026 is hosted at Wangjiang Hotel No.42 Xiashahepu Street, Jinjiang District, 610066, Chengdu, Sichuan
Typical access options include:
- By air: Chengdu Shuangliu International Airport or Chengdu Tianfu International Airport, then metro, airport shuttle, taxi, or ride-hailing to the hotel
- By high-speed rail: Chengdu East Railway Station followed by a short taxi ride or metro to the Jinjiang District area
- Within the city: Metro and bus connections to Jinjiang District, plus short taxi rides directly to the venue on Xiashahepu Street More detailed routes, metro lines, and arrival tips will be posted under the Attending section as the event approaches.
Questions about GPEML 2025 can be sent to the local organizing committee via the emails listed under the Organization section. Please revisit this site for updates on calls, visa guidance, detailed schedule, and media resources.