Evolutionary Computing wins a place in the National College

The first time I heard about genetic algorithms was from the voice of Dr. Jesús Figueroa Nazuno, who gave me a recently published book by Goldberg[1]. At that time we were trying to find a quick solution for the inverse kinematics of our robot: given a position in the workspace, we had to find the angles of our arm to be able to move it from an initial position to the target position.

Genetic algorithms were an elegant solution. Years later I learned about the work of my friend, Dr. Juan Manuel Ahuatzin Larios, in Grenoble, who precisely used genetic algorithms to solve the exhaustive search for trajectories in complex spaces with spatial restrictions.[2]. Almost at the same time, my colleague Dr. Gustavo Olague also arrived in Grenoble, who had already traveled some path in the use of genetic algorithms and at the end of his doctoral theses successfully implemented some solutions inspired by evolutionary algorithms to estimate the optimal position of a set of 2D images to be able to reconstruct the 3D model of an object.

Almost in parallel, at Tulane, Dr. Carlos Coello Coello ventured into the construction of his lines of research in single and multi-objective evolutionary optimization, the development of evolutionary algorithms and methods based on metaheuristics. [4]. Today, January 9, it has just been announced that Carlos will join the National College of Mexico.

The National College is a Mexican honorary academy with a strictly limited membership created by presidential decree in 1943, in order to bring together the most outstanding artists and scientists in Mexico, who are periodically invited to give lectures and seminars in their respective area of ​​expertise. .

It took computer science many years to gain a place in the intelligentsia national. Unlike brilliant analytical solutions, which as a result of several hours or months of work involve obtaining parameters that allow optimizing the necessary combinations to make a system behave in the desired way, current computational power allows computers to be precisely those that make hundreds of millions of calculations per second to, in principle, achieve a solution that would take perhaps millions of years to be achieved with pencil and paper.

The National College, by granting this distinction to our colleague Carlos, recognizes not only the leadership and impact of scientific publications in the international arena, but also recognizes hand in hand, the importance of both the themes, as well as a complete generation of the community of computational sciences, artificial intelligence and numerical optimization in our country.

To this day, we still do not fully understand the processes inherent in the reproducibility of human intelligence in computers, but we are getting closer to finding indications of how this capacity could be shaped. The alternatives offered by algorithms, such as the ones that Carlos has endeavored to develop, give spectacular practical results, which translates into replicable designs and products for a number of applications.

Congratulations to Carlos and the enormous effort he has put into his academic career, and thank you for putting the name of Mexico and its technological community in the international arena.

[1[ Goldberg, D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.

[2[ Mazer, E., Ahuactzin, J.M y Bessière, P., Journal of Artificial Intelligence Research, Vol 9, pags. 295-316, 1998.

[3] Olague, G. : Evolutionary computer vision, the first footprints, Springer, 2016.


Evolutionary Computing wins a place in the National College