Jésica de Armas Adrián

Lecturer at UPF
Research area: Computer Science

PhD in Computer Science obtained at Universidad de La Laguna (2012)


I am Assistant Professor at the Department of Economics and Business, Universitat Pompeu Fabra, Affiliated Professor at the Barcelona Graduate School of Economics, Associate Professor and Tutor of the Computer Science Degree at the Universitat Oberta de Catalunya. I have a PhD degree in Computer Science from Universidad de La Laguna. I have been involved in different research projects and consulting for firms in the area of Logistics and Transportation. I have published several articles in prestigious international journals and have presented my works at international conferences. I teach at various undergraduate programs. My research interests include Combinatorial Optimization, Metaheuristics, Machine Learning, Vehicle Routing, Scheduling, Logistics, Production and Transportation.

Research lines

Combinatorial Optimization


Machine Learning

Vehicle Routing,


Logistics, Production and Transportation

Selected publications

Jesica de Armas, Albert Ferrer, Angel A. Juan, Eduardo Lalla-Ruiz. Modeling and Solving the Non-Smooth Arc Routing Problem with Realistic Soft Constraints. Expert Systems wit Applications. 2018. Accepted, to appear.

Jesica de Armas Adrian; Bele?n Melia?n Batista. Variable Neighborhood Search for a Dynamic Rich Vehicle Routing Problem with Time Windows. Computers & Industrial Engineering. 85, pp. 120 – 131. 2015

Jesica de Armas Adria?n; Bele?n Melia?n Batista. GVNS for a Real-World Rich Vehicle Routing Problem with Time Windows. Engineering Applications of Artificial Intelligence. 42, pp. 45 – 56. 2015.

Jesica de Armas; Miranda, Gara; Leo?n, Coromoto. Improving the efficiency of a best-first bottom-up approach for the constrained 2D cutting problem. European Journal of Operational Research. 219 – 0, pp. 201 – 213. 2012.

Je?sica de Armas, Gara Miranda, Coromoto Leo?n, Carlos Segura. Optimisation of a multi-objective two- dimensional strip packing problem based on evolutionary algorithms. International Journal of Production Research. 48 – 7, pp. 2011 – 2028. 2009.