Genetic Programming

Organized and chaired by Dr. Leonardo Trujillo and Dr. Edgar Galvan.

 

 

Dr. Leonardo Trujillo

Dr. Leonardo Trujillo, Instituto Technologico de Tijuana, Mexico

Dr. Trujillo received a doctorate in computer science from CICESE research center in Mexico, developing Genetic Programming (GP) applications for computer vision problems. He is currently a research professor at the Technical Institute of Tijuana in Mexico (ITT), and actively collaborates with other institutions, particularly with the University of Bordeux and INRIA in France, where has received the distinction of invited professor and researcher. Currently, Dr. Trujillo is involved in interdisciplinary research within the fields of evolutionary computation, computer vision, image analysis, pattern recognition and autonomous robotics. However, broadly hes work is primarily focused on Genetic Programming (GP), developing new theory and applications. The work of Dr. Trujillo has been published in well-known conferences and journals in the field of evolutionary algorithms, receiving several awards and distinctions.

 



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Dr. Edgar Galvan, Trinity College University, Ireland

Dr. Edgar Galvan is a Research Fellow in the Distributed Systems Group at Trinity College University. Prior to this, Dr. Galvan was a Visiting Researcher in the Brain Computer Interface Group at University of Essex and a Post-Doctoral Researcher at University College Dublin. Dr. Galvan holds a PhD from the School of Computer Science, University of Essex. He has published over 30 peer-reviewed publications on the theory and applications of evolutionary algorithms (EAs). He is a regular reviewer of the most respected Journal and Conferences in the area of EAs (e.g., IEEE Transactions on Evolutionary Computation, Genetic Programming and Evolvable Machines, GECCO, CEC, EvoStar). He is a programme committee member of EvoStar, GECCO.


 
 

The field of Genetic Programming (GP), studies the development of evolutionary algorithms that can synthesize computer programs that can automatically solve a specific computational problem. Recent works have illustrated the power and flexibility of GP with the development of successful applications in diverse domains. However, important open questions still need to be addressed in order to overcome some of the limitations of current GP-based methods, which can only be achieved with a deeper understanding of the fundamental dynamics of a GP search. In this special session, we invite research contributions that study theoretical aspects of GP search and innovative applications. 

We invite works that deal with theory, including topics such as bloat, problem difficulty, novel representations and operators, convergence models, and other state-of-the-art topics. Also, we invite interesting applications from the fields of pattern analysis, classification, image analysis, bio-informatics, and other areas of applied mathematics. 

Submissions should de done through the conference interface, knowing that both extended abstract and full-paper submissions are accepted. The deadline for submission for the session is set to March 30th, 2012. For further information or any other questions you may have regarding the session, do not hesitate to contact us at This e-mail address is being protected from spambots. You need JavaScript enabled to view it. and This e-mail address is being protected from spambots. You need JavaScript enabled to view it. .