Accuracy and Efficiency in Simulating VANETs. - Enrique Alba 001; Sebastián Luna; Jamal Toutouh (MCO, 2008)

Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics. - José García-Nieto; Jamal Toutouh; Enrique Alba 001 (Eng. Appl. Artif. Intell., 2010)

An efficient routing protocol for green communications in vehicular ad-hoc networks. - Jamal Toutouh; Enrique Alba 001 (GECCO (Companion), 2011)

Performance analysis of optimized VANET protocols in real world tests. - Jamal Toutouh; Enrique Alba 001 (IWCMC, 2011)

Optimizing OLSR in VANETS with differential evolution: a comprehensive study. - Jamal Toutouh; Enrique Alba 001 (DIVANet@MSWiM, 2011)

Parallel Swarm Intelligence for VANETs Optimization. - Jamal Toutouh; Enrique Alba 001 (3PGCIC, 2012)

Green OLSR in VANETs with differential evolution. - Jamal Toutouh; Enrique Alba 001 (GECCO (Companion), 2012)

Evolutionary power-aware routing in VANETs using Monte-Carlo simulation. - Jamal Toutouh; Sergio Nesmachnow; Enrique Alba 001 (HPCS, 2012)

Multi-objective OLSR optimization for VANETs. - Jamal Toutouh; Enrique Alba 001 (WiMob, 2012)

Intelligent OLSR Routing Protocol Optimization for VANETs. - Jamal Toutouh; José García-Nieto; Enrique Alba 001 (IEEE Trans. Veh. Technol., 2012)

Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary algorithm. - Jamal Toutouh; Sergio Nesmachnow; Enrique Alba 001 (Clust. Comput., 2013)

QoS-Aware Radio Access Technology (RAT) Selection in Hybrid Vehicular Networks. - Zeeshan Hameed Mir; Jamal Toutouh; Fethi Filali; Enrique Alba 001 (Nets4Cars/Nets4Trains/Nets4Aircraft, 2015)

Metaheuristics for energy-efficient data routing in vehicular networks. - Jamal Toutouh; Enrique Alba 001 (Int. J. Metaheuristics, 2015)

Distributed Fair Rate Congestion Control for Vehicular Networks. - Jamal Toutouh; Enrique Alba 001 (DCAI, 2016)

CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths. - Christian Cintrano; Daniel H. Stolfi; Jamal Toutouh; Francisco Chicano; Enrique Alba 001 (Smart-CT, 2016)

Light commodity devices for building vehicular ad hoc networks: An experimental study. - Jamal Toutouh; Enrique Alba 001 (Ad Hoc Networks, 2016)

Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm. - Renzo Massobrio; Jamal Toutouh; Sergio Nesmachnow; Enrique Alba 001 (Int. J. Intell. Syst., 2017)

Parallel multi-objective metaheuristics for smart communications in vehicular networks. - Jamal Toutouh; Enrique Alba 001 (Soft Comput., 2017)

Evolution Oriented Monitoring oriented to Security Properties for Cloud Applications. - Jamal Toutouh; Antonio Muñoz 001; Sergio Nesmachnow (ARES, 2018)

Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CAEPIA, 2018)

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 001 (CAEPIA, 2018)

Waste Generation Prediction in Smart Cities Through Deep Neuroevolution. - Andrés Camero; Jamal Toutouh; Javier Ferrer; Enrique Alba 001 (ICSC-Cities, 2018)

Municipal Solid Waste Management in Smart Cities: Facility Location of Community Bins. - Diego Gabriel Rossit; Sergio Nesmachnow; Jamal Toutouh (ICSC-Cities, 2018)

Smart Campus Human Tracking: The Case of University of Málaga. - Jamal Toutouh; Javier Luque; Enrique Alba 001 (ICSC-Cities, 2018)

Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. - Andrés Camero; Jamal Toutouh; Daniel H. Stolfi; Enrique Alba 001 (LION, 2018)

Computational Intelligence for Locating Garbage Accumulation Points in Urban Scenarios. - Jamal Toutouh; Diego Rossit; Sergio Nesmachnow (LION, 2018)

Low-Cost Recurrent Neural Network Expected Performance Evaluation. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2018)

DLOPT: Deep Learning Optimization Library. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2018)

Comparison of Multiobjective Evolutionary Algorithms for Prioritized Urban Waste Collection in Montevideo, Uruguay. - Sergio Nesmachnow; Diego Rossit; Jamal Toutouh (Electron. Notes Discret. Math., 2018)

Analysis of Mobility Patterns for Public Transportation and Bus Stops Relocation. - Enzo Fabbiani; Sergio Nesmachnow; Jamal Toutouh; Andrei Tchernykh; Arutyun Avetisyan; Gleb I. Radchenko (Program. Comput. Softw., 2018)

BiPred: A Bilevel Evolutionary Algorithm for Prediction in Smart Mobility. - Jamal Toutouh; Javier Arellano-Verdejo; Enrique Alba 001 (Sensors, 2018)

A swarm algorithm for collaborative traffic in vehicular networks. - Jamal Toutouh; Enrique Alba 001 (Veh. Commun., 2018)

Spatial evolutionary generative adversarial networks. - Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (GECCO, 2019)

Multiobjective Household Energy Planning Using Evolutionary Algorithms. - Giovanni Colacurcio; Sergio Nesmachnow; Jamal Toutouh; Francisco Luna 001; Diego Rossit (ICSC-Cities, 2019)

Assessing the Environmental Impact of Car Restrictions Policies: Madrid Central Case. - Irene Lebrusán; Jamal Toutouh (ICSC-Cities, 2019)

A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2019)

Multiobjective evolutionary flight planning of autonomous unmanned aerial vehicles for exploration and surveillance. - Sergio Nesmachnow; Claudio Paz; Jamal Toutouh; Andrei Tchernykh (AICTS, 2020)

Multiobjective design of sustainable public transportation systems. - Diego Gabriel Rossit; Sergio Nesmachnow; Jamal Toutouh (AICTS, 2020)

Generative adversarial networks to model air pollution under uncertainty. - Jamal Toutouh; Sergio Nesmachnow; Diego Gabriel Rossit (AICTS, 2020)

Parallel/Distributed Generative Adversarial Neural Networks for Data Augmentation of COVID-19 Training Images. - Jamal Toutouh; Mathias Esteban; Sergio Nesmachnow (CARLA, 2020)

Re-purposing heterogeneous generative ensembles with evolutionary computation. - Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (GECCO, 2020)

A Simulation-Optimization Approach for the Household Energy Planning Problem Considering Uncertainty in Users Preferences. - Diego Gabriel Rossit; Sergio Nesmachnow; Jamal Toutouh; Francisco Luna 001 (ICPR-Americas (2), 2020)

Smart City Tools to Evaluate Age-Healthy Environments. - Irene Lebrusán; Jamal Toutouh (ICSC-Cities, 2020)

Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution. - Jamal Toutouh (ICSC-Cities, 2020)

Parallel/distributed implementation of cellular training for generative adversarial neural networks. - Emiliano Pérez; Sergio Nesmachnow; Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (IPDPS Workshops, 2020)

Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain. - Jamal Toutouh; Irene Lebrusán; Sergio Nesmachnow (OLA, 2020)

Analyzing the Components of Distributed Coevolutionary GAN Training. - Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (PPSN (1), 2020)

Enabling DSRC and C-V2X Integrated Hybrid Vehicular Networks: Architecture and Protocol. - Zeeshan Hameed Mir; Jamal Toutouh; Fethi Filali; Young-Bae Ko (IEEE Access, 2020)

Soft computing methods for multiobjective location of garbage accumulation points in smart cities. - Jamal Toutouh; Diego Rossit; Sergio Nesmachnow (Ann. Math. Artif. Intell., 2020)

Data Dieting in GAN Training. - Jamal Toutouh; Una-May O'Reilly; Erik Hemberg (CoRR, 2020)

Random error sampling-based recurrent neural network architecture optimization. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (Eng. Appl. Artif. Intell., 2020)

Adversarial genetic programming for cyber security: a rising application domain where GP matters. - Una-May O'Reilly; Jamal Toutouh; Marcos A. Pertierra; Daniel Prado Sanchez; Dennis Garcia; Anthony Erb Lugo; Jonathan Kelly; Erik Hemberg (Genet. Program. Evolvable Mach., 2020)

Data Dieting in GAN Training. - Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (Deep Neural Evolution, 2020)

Citizen Centric Optimal Electric Vehicle Charging Stations Locations in a Full City: Case of Malaga. - Christian Cintrano; Jamal Toutouh; Enrique Alba 001 (CAEPIA, 2021)

Signal propagation in a gradient-based and evolutionary learning system. - Jamal Toutouh; Una-May O'Reilly (GECCO, 2021)

Exact Approach for Electric Vehicle Charging Infrastructure Location: A Real Case Study in Málaga, Spain. - Claudio E. Risso; Christian Cintrano; Jamal Toutouh; Sergio Nesmachnow (ICSC-Cities, 2021)

Using Open Data to Analyze Public Bus Service from an Age Perspective: Melilla Case. - Jamal Toutouh; Irene Lebrusán; Christian Cintrano (ICSC-Cities, 2021)

Evolutionary latent space search for driving human portrait generation. - Benjamín Machín; Sergio Nesmachnow; Jamal Toutouh (LA-CCI, 2021)

Parallel/Distributed Intelligent Hyperparameters Search for Generative Artificial Neural Networks. - Mathias Esteban; Jamal Toutouh; Sergio Nesmachnow (ISC Workshops, 2021)

Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios. - Diego Gabriel Rossit; Jamal Toutouh; Sergio Nesmachnow (CoRR, 2021)

Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks. - Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (CoRR, 2021)

Reliable and Fast Recurrent Neural Network Architecture Optimization. - Andrés Camero; Jamal Toutouh; Enrique Alba 001 (CoRR, 2021)

Spatial Coevolution for Generative Adversarial Network Training. - Erik Hemberg; Jamal Toutouh; Abdullah Al-Dujaili; Tom Schmiedlechner; Una-May O'Reilly (ACM Trans. Evol. Learn. Optim., 2021)

Multiobjective Electric Vehicle Charging Station Locations in a City Scale Area: Malaga Study Case. - Christian Cintrano; Jamal Toutouh (EvoApplications, 2022)

Coevolutionary generative adversarial networks for medical image augumentation at scale. - Diana Flores; Erik Hemberg; Jamal Toutouh; Una-May O'Reilly (GECCO, 2022)

Multi-target evolutionary latent space search of a generative adversarial network for human face generation. - Benjamín Machín; Sergio Nesmachnow; Jamal Toutouh (GECCO Companion, 2022)

Artificial Intelligence for Automatic Building Extraction from Urban Aerial Images. - Lucas González; Jamal Toutouh; Sergio Nesmachnow (ICSC-Cities, 2022)

Distribution of Police Patrols as a Covering Problem in Smart Cities: Fuengirola Use Case. - Jamal Toutouh; Francisco Chicano; Rodrigo Gil-Merino (ICSC-Cities, 2022)

A comparison of Generative Adversarial Networks for image super-resolution. - Patricia Cobelli; Sergio Nesmachnow; Jamal Toutouh (LA-CCI, 2022)

A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus. - Jamal Toutouh; Enrique Alba 001 (Sensors, 2022)

Parallel-Distributed Implementation of the Lipizzaner Framework for Multiobjective Coevolutionary Training of Generative Adversarial Networks. - Sergio Nesmachnow; Jamal Toutouh; Guillermo Ripa; Agustín Mautone; Andrés Vidal (CARLA, 2023)

Multiobjective evolutionary search of the latent space of Generative Adversarial Networks for human face generation. - Jairo Correa; Jimena Mignaco; Gonzalo Rey; Benjamín Machín; Sergio Nesmachnow; Jamal Toutouh (GECCO Companion, 2023)

Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. - Per Kristian Lehre; Mario Alejandro Hevia Fajardo; Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (GECCO, 2023)

Multiobjective coevolutionary training of Generative Adversarial Networks. - Guillermo Ripa; Agustín Mautone; Andrés Vidal; Sergio Nesmachnow; Jamal Toutouh (GECCO Companion, 2023)

Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. - Jamal Toutouh; Subhash Nalluru; Erik Hemberg; Una-May O'Reilly (GECCO, 2023)

Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. - Mario Alejandro Hevia Fajardo; Per Kristian Lehre; Jamal Toutouh; Erik Hemberg; Una-May O'Reilly (GPTP, 2023)

E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case. - Diego Daniel Pedroza-Perez; Jamal Toutouh; Gabriel Luque (OLA, 2023)

Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation. - Daniel Urda; Patricia Ruiz; El-Ghazali Talbi; Pascal Bouvry; Jamal Toutouh (Appl. Soft Comput., 2023)

Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification. - Jamal Toutouh; Subhash Nalluru; Erik Hemberg; Una-May O'Reilly (Appl. Soft Comput., 2023)

Optimizing Urban Infrastructure for E-Scooter Mobility. - Diego Daniel Pedroza-Perez; Jamal Toutouh; Gabriel Luque (EvoApplications@EvoStar, 2024)

Optimizing Electric Vehicle Charging Station Placement Integrating Daily Mobility Patterns and Residential Locations. - Christian Cintrano; Jamal Toutouh; Sergio Nesmachnow (GECCO, 2024)

A Self-adaptive Coevolutionary Algorithm. - Mario Alejandro Hevia Fajardo; Erik Hemberg; Jamal Toutouh; Una-May O'Reilly; Per Kristian Lehre (GECCO, 2024)

Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. - Erik Hemberg; Una-May O'Reilly; Jamal Toutouh (GECCO, 2024)

Empirical comparison of evolutionary approaches for searching the latent space of Generative Adversarial Networks for the human face generation problem. - Jimena Mignaco; Gonzalo Rey; Jairo Correa; Sergio Nesmachnow; Jamal Toutouh (GECCO Companion, 2024)

Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation. - Diego Daniel Pedroza-Perez; Jamal Toutouh; Gabriel Luque (GECCO, 2024)

Coevolutionary Computation for Adversarial Deep Learning. - Jamal Toutouh; Una-May O'Reilly (GECCO Companion, 2024)

Human-centred Smart Mobility: Shaping the Future of Urban Transport. - Christian Cintrano; Gabriel Luque; Jamal Toutouh (ERCIM News, 2024)

Generate More than One Child in Your Co-evolutionary Semi-supervised Learning GAN. - Francisco Sedeño; Jamal Toutouh; Francisco Chicano (EvoApplications (2), 2025)

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators. - Steven Jorgensen; Erik Hemberg; Jamal Toutouh; Una-May O'Reilly (GECCO, 2025)

Adversarial attacks to image classification systems using evolutionary algorithms. - Sergio Nesmachnow; Jamal Toutouh (GECCO, 2025)

Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm. - Renzo Massobrio; Jamal Toutouh; Sergio Nesmachniw; Enrique Alba 001 (CoRR, 2025)

Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms. - Walter P. Casas; Jamal Toutouh (CoRR, 2025)