Journal Publications

Related to Activity T1:

 1.     Daniel H. Stolfi, Enrique Alba, “Epigenetic algorithms: A New way of building GAs based on epigenetics”, Information Sciences 424: 250-272, 2018,

2.     Martín Pedemonte, Francisco Luna, Enrique Alba, “A theoretical and empirical study of the trajectories of solutions on the grid of Systolic Genetic Search”, Information Sciences, 445–446: 97-117, 2018,

3.     Toutouh, J.; Arellano, J.; Alba, E. BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility. Sensors 2018, 18, 4123.

4.     Dahi, Z.A. & Alba, E.; “The grid-to-neighbourhood relationship in cellular GAs: from design to solving complex problems”, Soft Computing (2019).

5.     Amr Abdelhafez, Enrique Alba, Gabriel Luque, “Performance analysis of synchronous and asynchronous distributed genetic algorithms on multiprocessors”, Swarm and Evolutionary Computation 49: 147-157, 2019,

6.     Rubén Saborido, Enrique Alba, "Software systems from smart city vendors", Cities 101: 102690, 2020,

Related to Activity T3a:

7.     Javier Arellano-Verdejo, Federico Alonso-Pecina, Enrique Alba & Adolfo Guzmán Arenas (2019) Optimal allocation of public parking spots in a smart city: problem characterisation and first algorithms, Journal of Experimental & Theoretical Artificial Intelligence, 31:4, 575-597, DOI: 10.1080/0952813X.2019.1591522


Related to Activity T3a:

8.     Daniel H. Stolfi, Enrique Alba, Green Swarm: Greener routes with bio-inspired techniques, Applied Soft Computing 71: 952-963, 2018,

9.     J. Toutouh, J. Arellano, and E. Alba (2018). BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility. Sensors, 18(12), 4123. doi: 10.3390/s18124123

10.     Cintrano, C., Chicano F., & Alba E. (2019).  Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions. Information Sciences. 503, 255 - 273.


Related to Activity T6a:

11.   E. Segredo, G. Luque, C. Segura and E. Alba, "Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation," in IEEE Access, vol. 7, pp. 43915-43932, 2019. doi: 10.1109/ACCESS.2019.2908562

12.  Javier Ferrer, Manuel López-Ibáñez, Enrique Alba, “Reliable simulation-optimization of traffic lights in a real-world city”, Applied Soft Computing 78: 697-711, 2019,

13.  Andrés Camero, Javier Arellano-Verdejo, Enrique Alba, “Road map partitioning for routing by using a micro steady state evolutionary algorithm”, Engineering Applications of Artificial Intelligence 71: 155-165, 2018,

14.  Daniel H. Stolfi, Enrique Alba, “Generating realistic urban traffic flows with evolutionary techniques”, Engineering Applications of Artificial Intelligence 75: 36-47, 2018,

15.  Andrés Camero, Enrique Alba, “Smart City and information technology: A review”, Cities 93: 84-94, 2019,


Related to Activity T6b:

 16.  Zakaria Abdelmoiz Dahi, Enrique Alba, Amer Draa, “A stop-and-start adaptive cellular genetic algorithm for mobility management of GSM-LTE cellular network users”, Expert Systems with Applications 106: 290-304, 2018,

17.  Jamal Toutouh, Enrique Alba, “A swarm algorithm for collaborative traffic in vehicular networks”, Vehicular Communications 12: 127-137, 2018,

18. J. Á. Morell, A. Camero and E. Alba, "JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training," in IEEE Access, vol. 7, pp. 158671-158684, 2019, doi: 10.1109/ACCESS.2019.2950287.

Related to Activity T7a:

 19.  J. Toutouh, D. G. Rossit, and S. Nesmachnow (2019). Methods for multiobjective location of garbage accumulation points in smart cities. Annals of Mathematics and Artificial Intelligence (In Pres) Soft computing. doi: 0.1007/s10472-019-09647-5.

20.  D. G. Rossit, S. Nesmachnow, and J. Toutouh (2019). A bi-objective integer programming model for locating garbage accumulation points: a case study. Revista de Ingeniería (In Pres) doi: 10.17533/udea.redin.20190509.


Related to Activity T7b:

 21.  Abdelhafez, A., Alba, E. & Luque, G.; “A component-based study of energy consumption for sequential and parallel genetic algorithms”, J Supercomput (2019).

22.  Camero, A.; Luque, G.; Bravo, Y.; Alba, E. “Customer Segmentation Based on the Electricity Demand Signature: The Andalusian Case”. Energies 2018, 11, 1788.


Conference publications

Name of the congress, type of communication (invited, oral, poster), authors


Related to Activity T1:

 1.     Jamal Toutouh, Erik Hemberg, and Una-May O’Reilly. 2019. Spatial Evolutionary Generative Adversarial Networks. In Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic. ACM, New York, NY, USA, 9 pages.

2.     Reduction of the Size of Datasets by Using Evolutionary Feature Selection: The Case of Noise in a Modern City. Javier Luque, Jamal Toutouh, Enrique Alba. CAEPIA 2018: 230-239

3. Camero, A., Toutouh, J., and Alba, E. Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. To appear in Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 2018.

4.     Chicano, F., Ochoa G., Whitley D., & ós R. (2018).  Enhancing partition crossover with articulation points analysis. (Aguirre, H., Ed.).the Genetic and Evolutionary Computation Conference Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '18.

5.     Chicano, F., Ochoa G., Whitley D., & Tinos R. (2019).  Quasi-Optimal Recombination Operator. (Liefooghe, A., & Paquete L., Ed.).Lecture Notes in Computer Science. 11452, 131 - 146.

6.     Ochoa, G., & Chicano F. (2019).  Local optima network analysis for MAX-SAT. GECCO 2019.


Related to Activity T3a:

7.     Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba. LION 2018: 386-401


Related to Activity T3b:

8.     An Intelligent Advisor for City Traffic Policies. Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba. CAEPIA 2018: 383-393

9.     Natural evolution tells us how to best make goods delivery: use vans. Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba. GECCO (Companion) 2018: 308-309


Related to Activity T5b:

10.     Studying Solutions of the p-Median Problem for the Location of Public Bike Stations. Christian Cintrano, Francisco Chicano, Thomas Stützle, Enrique Alba. CAEPIA 2018: 198-208


Related to Activity T6b:

11.  José Á. Morell, Enrique Alba: Running Genetic Algorithms in the Edge: A First Analysis. CAEPIA 2018: 251-261


Related to Activity T7a:

12.  Javier Ferrer y Enrique Alba. BIN-CT: Sistema Inteligente para la gestión de la recogida de residuos urbanos. International Greencities Congress, p.117-128, 2018

13.  Andrés Camero, Jamal Toutouh, Javier Ferrer, Enrique Alba. Waste generation prediction in smart cities through deep neuroevolution. Ibero-American Congress on Information Management and Big Data. ICSC-CITIES 2018: Smart Cities pp 192-204

14.  Javier Ferrer y Enrique Alba, BIN-CT: Sistema Inteligente para la gestión de la recogida de residuos urbanos [Poster]

15. Camero A, Toutouh J, Ferrer J, Alba E. Waste generation prediction under uncertainty in smart cities through deep neuroevolution. Revista Facultad de Ingeniería Universidad de Antioquia. 2019 Dec(93):128-38.


Other publications

1. Camero, A., Toutouh, J., and Alba, E. Low-cost recurrent neural network expected performance evaluation. arXiv preprint arXiv:1805.07159 (may 2018)

2. Camero, A., Toutouh, J., and Alba, E. DLOPT: Deep Learning Optimization Library. arXiv preprint arXiv:1807.03523 (july 2018)

3. Camero A, Toutouh J, Alba E. A specialized evolutionary strategy using mean absolute error random sampling to design recurrent neural networks. arXiv preprint arXiv:1909.02425. 2019 Sep 4.

4. Camero A, Wang H, Alba E, Bäck T. Bayesian Neural Architecture Search using A Training-Free Performance Metric. arXiv preprint arXiv:2001.10726. 2020 Jan 29.