Welcome to GPEML 2025

This event focuses on the cutting-edge theories and applications of Genetic Programming (GP) and Evolutionary Machine Learning (EML). With the rapid advancement of computational intelligence, GP and EML have demonstrated tremendous potential in automated program generation, feature engineering, explainable AI, evolutionary deep learning, and other emerging fields. The forum will gather leading experts and scholars worldwide to discuss the latest research advances, key technologies, and practical applications of GP and EML.


Forum Topics

Forum Topics (including but not limited to):


Organizers

[Host] IEEE Computational Intelligence Society

[Organizer] School of Electrical and Information Engineering, Zhengzhou University

[Co-organizers]


Date & Venue


Schedule

The detailed technical program will include:

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:

For full details, please visit the dedicated accommodation page:


Transportation

GPEML 2025 is hosted at Huazhi Hotel, No. 97 Kexue Avenue, Zhongyuan District, Zhengzhou (intersection of Kexue Avenue and Changchun Road).

Typical access options include:

More detailed routes, metro lines, and arrival tips will be posted under the Attending section as the event approaches.


Media & Materials

To support outreach and reporting, the symposium will provide:

Relevant media resources will be accessible here and under the Photos and Program sections:

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.