Etor Arza Gonzalez

PhD Student

T +34 946 567 842
F +34 946 567 842

Information of interest

I finished my bachelor's degree in Mathematics at the University of the Basque Country UPV/EHU on 2018. Right now I am doing an internship at BCAM under the supervision of Ekhiñe Irurozki. My research is focused on designing an EDA for the QAP problem, based on the Hamming distance.


A multi-domain methodology to analyze an optimization problem set

Authors: Etor Arza, Ekhiñe Irurozki, Josu Ceberio, Aritz Perez

License: free and open source software


Authors: Etor Arza, Leni Le Goff, Emma Hart

License: free and open source software

OPTECOT - Optimal Evaluation Cost Tracking

This repository contains supplementary material for the paper Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems. In this work, we have presented OPTECOT (Optimal Evaluation Cost Tracking): a technique to reduce the cost of solving a computationally expensive black-box optimization problem using population-based algorithms, avoiding loss of solution quality. OPTECOT requires a set of approximate objective functions of different costs and accuracies, obtained by modifying a strategic parameter in the definition of the original function. The proposal allows the selection of the lowest cost approximation with the trade-off between cost and accuracy in real time during the algorithm execution. To solve an optimization problem different from those addressed in the paper, the repository also contains a library to apply OPTECOT with the CMA-ES (Covariance Matrix Adaptation Evolution Strategy) optimization algorithm.

Authors: Judith Echevarrieta, Etor Arza, Aritz Pérez

License: free and open source software