Adriana Lara López is a Mexican computer scientist whose research involves evolutionary computation, memetic algorithms, and multi-objective optimization. She is a professor in the school of physics and mathematics at the Instituto Politécnico Nacional in Mexico. [1]
Lara graduated from the Instituto Politécnico Nacional in 2001, and earned a master's degree through CINVESTAV in 2003. [2] She completed her PhD at CINVESTAV in 2012. [1] Her dissertation, Using Gradient Based Information to Build Hybrid Multi-objective Evolutionary Algorithms, was jointly supervised by Oliver Schütze and Carlos A. Coello Coello. [3]
She has been a professor at the IPN since 2003. [4]
Lara was elected to the Mexican Academy of Sciences in 2022. [5]
Adriana Lara López is a Mexican computer scientist whose research involves evolutionary computation, memetic algorithms, and multi-objective optimization. She is a professor in the school of physics and mathematics at the Instituto Politécnico Nacional in Mexico. [1]
Lara graduated from the Instituto Politécnico Nacional in 2001, and earned a master's degree through CINVESTAV in 2003. [2] She completed her PhD at CINVESTAV in 2012. [1] Her dissertation, Using Gradient Based Information to Build Hybrid Multi-objective Evolutionary Algorithms, was jointly supervised by Oliver Schütze and Carlos A. Coello Coello. [3]
She has been a professor at the IPN since 2003. [4]
Lara was elected to the Mexican Academy of Sciences in 2022. [5]