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Daniel H. Stolfi
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Evolutionary deep learning for car park occupancy prediction in smart cities
A Camero, J Toutouh, DH Stolfi, E Alba
Learning and Intelligent Optimization: 12th International Conference, LION …, 2019
1322019
Predicting car park occupancy rates in smart cities
DH Stolfi, E Alba, X Yao
Smart Cities: Second International Conference, Smart-CT 2017, Málaga, Spain …, 2017
922017
Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms
DH Stolfi, E Alba
Applied Soft Computing 24, 181-195, 2014
452014
UAV-UGV-UMV multi-swarms for cooperative surveillance
DH Stolfi, MR Brust, G Danoy, P Bouvry
Frontiers in Robotics and AI 8, 616950, 2021
352021
Swarm‑based counter UAV defense system
MR Brust, G Danoy, DH Stolfi, P Bouvry
Discover Internet of Things 1 (1), 2021
352021
Can I park in the city center? Predicting car park occupancy rates in smart cities
DH Stolfi, E Alba, X Yao
Journal of Urban Technology 27 (4), 27-41, 2020
242020
A cooperative coevolutionary approach to maximise surveillance coverage of UAV swarms
DH Stolfi, MR Brust, G Danoy, P Bouvry
2020 IEEE 17th annual consumer communications & networking conference (CCNC …, 2020
202020
Generating realistic urban traffic flows with evolutionary techniques
DH Stolfi, E Alba
Engineering Applications of Artificial Intelligence 75, 36-47, 2018
192018
Eco-friendly reduction of travel times in european smart cities
DH Stolfi, E Alba
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
182014
Epigenetic algorithms: A New way of building GAs based on epigenetics
DH Stolfi, E Alba
Information Sciences 424, 250-272, 2018
172018
An evolutionary algorithm to generate real urban traffic flows
DH Stolfi, E Alba
Advances in Artificial Intelligence: 16th Conference of the Spanish …, 2015
142015
Smart mobility policies with evolutionary algorithms: the adapting info panel case
DH Stolfi, E Alba
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
132015
An evolutionary algorithm to optimise a distributed UAV swarm formation system
DH Stolfi, G Danoy
Applied Sciences 12 (20), 10218, 2022
122022
Competitive evolution of a UAV swarm for improving intruder detection rates
DH Stolfi, MR Brust, G Danoy, P Bouvry
2020 IEEE international parallel and distributed processing symposium …, 2020
122020
Green swarm: Greener routes with bio-inspired techniques
DH Stolfi, E Alba
Applied Soft Computing 71, 952-963, 2018
112018
Red Swarm: Smart mobility in cities with EAS
DH Stolfi, E Alba
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
112013
Optimising autonomous robot swarm parameters for stable formation design
DH Stolfi, G Danoy
Proceedings of the Genetic and Evolutionary Computation Conference, 1281-1289, 2022
102022
A competitive Predator–Prey approach to enhance surveillance by UAV swarms
DH Stolfi, MR Brust, G Danoy, P Bouvry
Applied Soft Computing 111, 107701, 2021
102021
Fine tuning of traffic in our cities with smart panels: The quito city case study
DH Stolfi, R Armas, E Alba, H Aguirre, K Tanaka
Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016
102016
CONSOLE: Intruder detection using a UAV swarm and security rings
DH Stolfi, MR Brust, G Danoy, P Bouvry
Swarm Intelligence 15 (3), 205-235, 2021
92021
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