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Daniel H. Stolfi

◁ ▷ joint publications with coauthor community group 1

> Home > Persons > Daniel H. Stolfi

Publications

2024
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  - journals/corr/abs-2401-16948
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Daniel H. Stolfi, Grégoire Danoy:
An ARGoS plug-in for the Crazyflie drone. CoRR abs/2401.16948 (2024)
2023
[j11]
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  - journals/ras/StolfiD23
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Daniel H. Stolfi, Grégoire Danoy:
Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator. Robotics Auton. Syst. 164: 104412 (2023)
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  - conf/gecco/StolfiD23
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Daniel H. Stolfi, Grégoire Danoy:
Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. GECCO Companion 2023: 771-774
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  - conf/ola/StolfiD23
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Daniel H. Stolfi, Grégoire Danoy:
Evaluating Surrogate Models for Robot Swarm Simulations. OLA 2023: 224-235
2022
[c18]
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  - conf/gecco/StolfiD22
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Daniel H. Stolfi, Grégoire Danoy:
Optimising autonomous robot swarm parameters for stable formation design. GECCO 2022: 1281-1289
2021
[j10]
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  - journals/asc/StolfiA21
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Daniel H. Stolfi, Enrique Alba:
Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga. Appl. Soft Comput. 109: 107566 (2021)
[j9]
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  - journals/asc/StolfiBDB21
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
A competitive Predator-Prey approach to enhance surveillance by UAV swarms. Appl. Soft Comput. 111: 107701 (2021)
[j8]
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  - journals/diot/BrustDSB21
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Matthias R. Brust, Grégoire Danoy, Daniel H. Stolfi, Pascal Bouvry:
Swarm-based counter UAV defense system. Discov. Internet Things 1(1) (2021)
[j7]
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  - journals/firai/StolfiBDB21
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. Frontiers Robotics AI 8: 616950 (2021)
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  - journals/swarm/StolfiBDB21
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
CONSOLE: intruder detection using a UAV swarm and security rings. Swarm Intell. 15(3): 205-235 (2021)
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Optimising pheromone communication in a UAV swarm. GECCO Companion 2021: 323-324
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  - conf/iccci/StolfiBDB21
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Improving Pheromone Communication for UAV Swarm Mobility Management. ICCCI 2021: 228-240
2020
[j5]
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  - journals/sensors/StolfiBDB20
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors 20(9): 2566 (2020)
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  - conf/ccnc/StolfiBDB20
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms. CCNC 2020: 1-6
[c14]
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  - conf/ipps/StolfiBDB20
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates. IPDPS Workshops 2020: 528-535
[c13]
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Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection. OLA 2020: 37-48
2018
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Daniel H. Stolfi, Enrique Alba:
Green Swarm: Greener routes with bio-inspired techniques. Appl. Soft Comput. 71: 952-963 (2018)
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  - journals/eaai/StolfiA18
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Daniel H. Stolfi, Enrique Alba:
Generating realistic urban traffic flows with evolutionary techniques. Eng. Appl. Artif. Intell. 75: 36-47 (2018)
[j2]
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Daniel H. Stolfi, Enrique Alba:
Epigenetic algorithms: A New way of building GAs based on epigenetics. Inf. Sci. 424: 250-272 (2018)
[c12]
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  - conf/caepia/StolfiCCA18
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Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
An Intelligent Advisor for City Traffic Policies. CAEPIA 2018: 383-393
[c11]
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Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
Natural evolution tells us how to best make goods delivery: use vans. GECCO (Companion) 2018: 308-309
[c10]
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  - conf/lion/CameroTSA18
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Andrés Camero, Jamal Toutouh, Daniel H. Stolfi, Enrique Alba:
Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. LION 2018: 386-401
2017
[c9]
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Daniel H. Stolfi, Enrique Alba:
Computing new optimized routes for GPS navigators using evolutionary algorithms. GECCO 2017: 1240-1247
[c8]
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  - conf/smartct/StolfiA017
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Daniel H. Stolfi, Enrique Alba, Xin Yao:
Predicting Car Park Occupancy Rates in Smart Cities. Smart-CT 2017: 107-117
2016
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  - conf/gecco/StolfiAAAT16
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Daniel H. Stolfi, Rolando Armas, Enrique Alba, Hernán E. Aguirre, Kiyoshi Tanaka:
Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study. GECCO 2016: 1013-1019
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  - conf/smartct/CintranoSTCA16
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Christian Cintrano, Daniel H. Stolfi, Jamal Toutouh, Francisco Chicano, Enrique Alba:
CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths. Smart-CT 2016: 63-75
2015
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  - conf/caepia/StolfiA15
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Daniel H. Stolfi, Enrique Alba:
An Evolutionary Algorithm to Generate Real Urban Traffic Flows. CAEPIA 2015: 332-343
[c4]
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Daniel H. Stolfi, Enrique Alba:
Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel Case. GECCO 2015: 1287-1294
2014
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Daniel H. Stolfi, Enrique Alba:
Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms. Appl. Soft Comput. 24: 181-195 (2014)
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Daniel H. Stolfi, Enrique Alba:
Eco-friendly reduction of travel times in european smart cities. GECCO 2014: 1207-1214
2013
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  - conf/caepia/StolfiA13
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Daniel H. Stolfi, Enrique Alba:
Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture. CAEPIA 2013: 289-299
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Daniel H. Stolfi, Enrique Alba:
Red Swarm: smart mobility in cities with EAS. GECCO 2013: 1373-1380

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