neo2016

Speakers - Adriana Lara

 

Adriana Lara
ESFM IPN, Mexico

Title: Design Issues for Multi-objective Memetic Algorithms

Abstract: This overview work presents the main concepts related to Multi-objective Memetic Algorithms (MMA). The focus is on advanced design aspects when constructing MMAs; through application examples, some issues like genetic encoding, the choice of an appropriate local searcher and alternative ways to balance resources, among other, are discussed.

BIO: Adriana Lara received the B.Sc. degree in Physics and Mathematics from the National Polytechnic Institute of Mexico (IPN), in Mexico City; the M.Sc. degree in Electrical Engineering and the Ph.D. degree in Computer Sciences from Centro de Investigación y Estudios Avanzados (CINVESTAV-IPN), in Mexico City, in 2003 and 2012 respectively. She is a Full Time Professor with the Mathematics Department of the Physics and Mathematics School (ESFM) at the IPN in México City. Her current research interests include Multiobjective Optimization, Hybrid Algorithms and Topological Data Analysis. She has received the IEEE Transactions on Evolutionary Computation Outstanding Paper Award for 2010, and also for 2012. She also received the 2010 Engineering Award granted by the Mexico City’s Science and Technology Institute (ICyTDF).