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
All submissions will be peer-reviewed by a panel of international experts. Contact: Dr. Leonardo Trujillo leonardo.trujillo at tectijuana.edu.mx

Research professor at the Tecnológico Nacional de México/Technical Institute of Tijuana in Mexico (ITT), working at the Department of Electric and Electronic Engineering, and the Engineering Sciences graduate program, of which I am co-founder and where I am involved in interdisciplinary research within the fields of evolutionary computation, machine learning, pattern recognition and artificial intelligence. My work focuses on Genetic Programming (GP) and developing new learning and search strategies based on this paradigm. I received an Electronic Engineering degree (2002) and a Masters in Computer Science (2004) from ITT, as well as a Doctorate in Computer Science from CICESE research center in Mexico (2008). I have developed research collaborations with a variety of institutions, such as CINVESTAV-IPN and CITEDI- IPN in Mexico, the University of Bordeaux and INRIA in France, University of Lisbon and NOVA-IMS in Portugal and the University of Extremadura in Spain. I have published over 90 journal papers, 60 conference papers, 25 book chapters, and have edited seven books, including from the NEO workshop series of which I am series co-chair and from the Genetic Programming Theory and Practice workshop which I have co-organized. I am Editor-in-Chief of the Genetic Programming and Evolvable Machines journal published by Springer and am Associate Editor of the European Journal of Artificial Intelligence (IOS Press) and the Mathematical and Computational Applications journal from MDPI. I have also 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. I have also been PI or Co-PI for various national and international research grants, and have received over 3,000 citations according to Google Scholar and 2,185 in Scopus with an h-index of 24.