Adriana Lara

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]

In this Spanish name, the first or paternal surname is Lara and the second or maternal family name is López.

Education and career

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]

Recognition

Lara was elected to the Mexican Academy of Sciences in 2022.[5]

References
  1. "Women at GECCO", GECCO 2020, retrieved 2022-12-05
  2. "Adriana Lara", IEEE Xplore, IEEE, retrieved 2022-12-05
  3. "PhD Defense of Adriana Lara López", Evolutionary Computation Group at CINVESTAV (EVOCINV), CINVESTAV, retrieved 2022-12-05
  4. "Adriana Lara", ORCiD, retrieved 2022-12-05
  5. Mathematics section members (PDF), Mexican Academy of Sciences, 2022, retrieved 2022-12-05
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