Genetic Programming
Chair: Dr. Leonardo Trujillo
Genetic Programming is an evolutionary approach to address learning and automatic program induction problems. It has generated strong results in many domains, and continues to develop as a more mature paradigm in machine learning.
This special session invites works and talks related to theoretical advances, the development of new algorithms or improvements over existing ones, as well as real-world applications.
Topics of interested include (but are not limited to):
- Theoretical developments in GP and ML
- GP performance and behavior
- Algorithms, representations and operators for GP
- Search-based software engineering
- Multi-population GP
- Multi-objective GP
- Tree-based, Linear, Graph-based, Grammar-based GP
- Hybrid models
- Evolutionary machine learning approaches
- Real-world application
Professor Leonardo Trujillo is a research professor at the Tecnológico Nacional deMéxico/Instituto Tecnológico de Tijuana (TecNM/ITT), in Tijuana, Mexico working at the Department of Electrical and Electronic Engineering, and the Engineering Sciences graduate program, of which he is co-founder, where he is involved in interdisciplinary research within the fields of evolutionary computation, machine learning, pattern recognition and artificial intelligence. His work focuses on Genetic Programming (GP) and developing new learning and search strategies based on this paradigm. Professor Trujillo received an Electronic Engineering degree (2002) and a Masters in Computer Science (2004) from ITT, as well as a Doctorate in Computer Science from the CICESE research center in Ensenada, Mexico (2008). Professor Trujillo is also an external member of the LASIGE Computer Science and Engineering Research Centre, a research and development (R&D) unit at the Faculty of Sciences of the University of Lisbon (FCUL), in the field of Computer Science and Engineering. He has published over 90 journal papers, 60 conference papers, 25 book chapters, and has edited seven books, including from the NEO workshop series of which he is series co-chair, and from the Genetic Programming Theory and Practice workshop which he organized on several occasions. He is currently Editor-in-Chief of the Genetic Programming and Evolvable Machines journal published by Springer and an Associate Editor of the European Journal of Artificial Intelligence (Sage) and the Mathematical and Computational Applications journal from MDPI. He is a regular PC member of top conferences, including GECCO, CEC, PPSN, EvoStar, CVPR, ECCV and others, and served as co-chair for the GP track at GECCO in 2021 and 2022. He has been PI or Co-PI for various national and international research grants, and has received over 3,000 citations according to Google Scholar and 2,190 in Scopus with an h-index of 24.