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ORCIDDaniel H. Stolfi
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2020 – today
- 2024
[j12]Daniel H. Stolfi
, Grégoire Danoy:
Evolutionary swarm formation: From simulations to real world robots. Eng. Appl. Artif. Intell. 128: 107501 (2024)- [i1]Daniel H. Stolfi, Grégoire Danoy:
An ARGoS plug-in for the Crazyflie drone. CoRR abs/2401.16948 (2024) - 2023
- [j11]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) - [c20]Daniel H. Stolfi, Grégoire Danoy:
Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. GECCO Companion 2023: 771-774 - [c19]Daniel H. Stolfi, Grégoire Danoy:
Evaluating Surrogate Models for Robot Swarm Simulations. OLA 2023: 224-235 - 2022
- [c18]Daniel H. Stolfi, Grégoire Danoy:
Optimising autonomous robot swarm parameters for stable formation design. GECCO 2022: 1281-1289 - 2021
- [j10]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]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]Matthias R. Brust, Grégoire Danoy, Daniel H. Stolfi, Pascal Bouvry:
Swarm-based counter UAV defense system. Discov. Internet Things 1(1) (2021) - [j7]Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. Frontiers Robotics AI 8: 616950 (2021) - [j6]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) - [c17]Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Optimising pheromone communication in a UAV swarm. GECCO Companion 2021: 323-324 - [c16]Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
Improving Pheromone Communication for UAV Swarm Mobility Management. ICCCI 2021: 228-240 - 2020
- [j5]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) - [c15]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]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]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
2010 – 2019
- 2019
- [d1]Daniel H. Stolfi:
Parking Birmingham. UCI Machine Learning Repository, 2019
- 2018
- [j4]Daniel H. Stolfi, Enrique Alba:
Green Swarm: Greener routes with bio-inspired techniques. Appl. Soft Comput. 71: 952-963 (2018) - [j3]Daniel H. Stolfi, Enrique Alba:
Generating realistic urban traffic flows with evolutionary techniques. Eng. Appl. Artif. Intell. 75: 36-47 (2018) - [j2]Daniel H. Stolfi, Enrique Alba:
Epigenetic algorithms: A New way of building GAs based on epigenetics. Inf. Sci. 424: 250-272 (2018) - [c12]Daniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba:
An Intelligent Advisor for City Traffic Policies. CAEPIA 2018: 383-393 - [c11]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]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]Daniel H. Stolfi, Enrique Alba:
Computing new optimized routes for GPS navigators using evolutionary algorithms. GECCO 2017: 1240-1247 - [c8]Daniel H. Stolfi, Enrique Alba, Xin Yao:
Predicting Car Park Occupancy Rates in Smart Cities. Smart-CT 2017: 107-117 - 2016
- [c7]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 - [c6]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
- [c5]Daniel H. Stolfi, Enrique Alba:
An Evolutionary Algorithm to Generate Real Urban Traffic Flows. CAEPIA 2015: 332-343 - [c4]Daniel H. Stolfi, Enrique Alba:
Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel Case. GECCO 2015: 1287-1294 - 2014
- [j1]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) - [c3]Daniel H. Stolfi, Enrique Alba:
Eco-friendly reduction of travel times in european smart cities. GECCO 2014: 1207-1214 - 2013
- [c2]Daniel H. Stolfi, Enrique Alba:
Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture. CAEPIA 2013: 289-299 - [c1]Daniel H. Stolfi, Enrique Alba:
Red Swarm: smart mobility in cities with EAS. GECCO 2013: 1373-1380
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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