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CONTENIDOS DESTACADOS

PROYECTOS DE INVESTIGACIÓN

ADARS

El proyecto ADARS (Automating the Design of Autonomous Robot Swarms) busca proponer una única solución al diseño de sistemas autónomos distribuidos respondiendo la siguiente pregunta: Es posible generar automáticamente comportamientos eficientes y reutilizables para sistemas distribuidos espaciales y aeroespaciales (DASS)? Con este fin, ADARS realizará avances del estado-del-arte en el campo de enjambre de robots y diseño automático de algoritmos. Leer más...

Hunted

El proyecto HUNTED (Heterogeneous multi-swarms of UNmanned auTonomous systEms for mission Deployment) tiene como objetivo el diseño de una nueva generación de modelos de movilidad para enjambres heterogéneos múltiples, compuestos por sistemas autónomos no tripulados (UAS - Unmanned Autonomous Systems), orientados a tareas de vigilancia y seguimiento de amenazas inminentes. Estos enjambres están compuestos por varios vehículos moviéndose de forma autónoma y coordinada por el aire, tierra o mar. Leer más...

6CITY

En el proyecto 6CITY (TIN2017-88213-R) se presenta la hipótesis de trabajo de poder resolver muchos de los problemas de las ciudades inteligentes (según la UE: economía, movilidad, gobierno, ciudadanos, calidad de vida, medio ambiente) los cuales son de naturaleza multidisciplinaria, aparentemente independientes, y que requieren un vasta experiencia científica para afrontarlos. Dentro de la propuesta se encuentran los algoritmos avanzados para búsqueda y optimización que puedan aprender por sí mismos en las situaciones en que el conocimiento previo del problema es muy limitado. Leer más...

MOVEON

El proyecto MOVEON (TIN2014-57341-R) consiste en una ambiciosa propuesta de investigación centrada en los retos relacionados con trasporte inteligente y movilidad inteligente. Nuestro enfoque se realiza desde la perspectiva de construcción de nuevas aplicaciones basadas en motores de resolución basados en metaheurísticas reforzados con metodologías y teorías que forman parte de la contribución realizada por nuestro equipo para conseguir "inteligencia holística". Leer más...

MAXCT

El proyecto MAXCT (OTRI # 8.06/5.47.4356 - AOP GGI3003IDI) comprende a dos aplicaciones que se ejecutan para mejorar el flujo del tráfico en una ciudad: El sistema HITUL (Holistic Intelligente for Traffic Urban Lights) orientado a la optimización de los semáforos existentes y el sistema CTPATH mediante la cual los conductores pueden recibir información respecto a sus rutas basada en sus preferencias. Leer más...

roadME

El proyecto roadME (TIN2011-28194) tiene el propósito de caracterizar, diseñar y evaluar técnicas metaheurísticas que sean capaces de resolver problemas del mundo real, en particular, aplicaciones de redes de comunicaciones vehiculares (VANET). Nuestra hipótesis es que las metaheurísticas estándares no sin capaces por si solas de resolver los requisitos de muchos de los problemas complejos como este, ya que nos enfrentamos a tiempos de ejecución de unos pocos segundos, requisitos específicos de cada usuario, problemas escalables a dimensiones muy grandes y la necesidad de robustez en diferentes escenarios de trabajo. Leer más...

PATIO

El proyecto PATIO: Técnicas de aprendizaje colaborativo y modelado de usuario aplicadas a la integración multicultural (TIC-4273), ha sido desarrollado por el grupo de Investigación y Aplicaciones en Inteligencia Artificial perteneciente al Departamento de Lenguajes y Ciencias de la Computación de la Universidad de Málaga, subvencionado en la convocatoria de proyectos de excelencia de la Consejería de Innovación, Ciencia y Empresa (convocatoria 2008) de la Junta de Andalucía. Leer más...

PUBLICACIONES EN REVISTAS CIENTÍFICAS

Listado Completo
Evolutionary swarm formation: From simulations to real world robots

Evolutionary swarm formation: From simulations to real world robots

Daniel H. Stolfi and Grégoire Danoy. Evolutionary swarm formation: From simulations to real world robots. In: Engineering Applications of Artificial Intelligence, vol. 128, pp. 107501, 2024.

doi> 10.1016/j.engappai.2023.107501 | [BibTex]
@Article{Stolfi2024,
  author   = {Daniel H. Stolfi and Gr\'{e}goire Danoy},
  journal  = {Engineering Applications of Artificial Intelligence},
  title    = {Evolutionary swarm formation: From simulations to real world robots},
  year     = {2024},
  issn     = {0952-1976},
  pages    = {107501},
  volume   = {128},
  doi      = {10.1016/j.engappai.2023.107501},
  groups   = {My Publications},
  keywords = {Swarm robotics, Evolutionary algorithm, E-Puck2, ARGoS simulator, Robot formation},
  url      = {https://www.sciencedirect.com/science/article/pii/S0952197623016858},
}
Optimising Robot Swarm Formations by Using Surrogate Models and Simulations

Optimising Robot Swarm Formations by Using Surrogate Models and Simulations

Daniel H. Stolfi and Grégoire Danoy. Optimising Robot Swarm Formations by Using Surrogate Models and Simulations. In: Applied Sciences, vol. 13, No. 10, 2023.

doi> 10.3390/app13105989 | [BibTex] | [Archivos]
@Article{Stolfi2023a,
  author         = {Stolfi, Daniel H. and Danoy, Gr\'{e}goire},
  journal        = {Applied Sciences},
  title          = {Optimising Robot Swarm Formations by Using Surrogate Models and Simulations},
  year           = {2023},
  issn           = {2076-3417},
  number         = {10},
  volume         = {13},
  article-number = {5989},
  doi            = {10.3390/app13105989},
  url            = {https://www.mdpi.com/2076-3417/13/10/5989},
}
Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator

Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator

Daniel H. Stolfi and Grégoire Danoy. Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator. In: Robotics and Autonomous Systems, vol. 164, pp. 104412, 2023.

doi> 10.1016/j.robot.2023.104412 | [BibTex] | [Archivos]
@Article{Stolfi2023,
  author   = {Daniel H. Stolfi and Gr\'{e}goire Danoy},
  journal  = {Robotics and Autonomous Systems},
  title    = {Design and analysis of an {E-Puck2} robot plug-in for the {ARGoS} simulator},
  year     = {2023},
  issn     = {0921-8890},
  pages    = {104412},
  volume   = {164},
  doi      = {10.1016/j.robot.2023.104412},
  keywords = {E-puck2, ARGoS, Computer simulations, Sensors, Swarm robotic},
  url      = {https://www.sciencedirect.com/science/article/pii/S0921889023000519},
}
An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System

An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System

Daniel H. Stolfi and Grégoire Danoy. An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System. In: Applied Sciences, vol. 12, No. 20, 2022.

doi> 10.3390/app122010218 | [BibTex]
@Article{Stolfi2022b,
  author         = {Stolfi, Daniel H. and Danoy, Gr\'{e}goire},
  journal        = {Applied Sciences},
  title          = {An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System},
  year           = {2022},
  issn           = {2076-3417},
  number         = {20},
  volume         = {12},
  article-number = {10218},
  doi            = {10.3390/app122010218},
  url            = {https://www.mdpi.com/2076-3417/12/20/10218},
}
SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. SuSy-EnGaD: Surveillance System Enhanced by Games of Drones. In: Drones, vol. 6, No. 1, 2022.

doi> 10.3390/drones6010013 | [BibTex] | [Archivos]
@Article{drones6010013,
  AUTHOR = {Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr\'{e}goire and Bouvry, Pascal},
  TITLE = {{SuSy-EnGaD}: Surveillance System Enhanced by Games of Drones},
  JOURNAL = {Drones},
  VOLUME = {6},
  YEAR = {2022},
  NUMBER = {1},
  ARTICLE-NUMBER = {13},
  URL = {https://www.mdpi.com/2504-446X/6/1/13},
  ISSN = {2504-446X},
  DOI = {10.3390/drones6010013},
  FILE = {https://gitlab.uni.lu/hunted/susy-engad-surveillance-system-enhanced-by-games-of-drones}
}
A competitive Predator–Prey approach to enhance surveillance by UAV swarms

A competitive Predator–Prey approach to enhance surveillance by UAV swarms

Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. A competitive Predator–Prey approach to enhance surveillance by UAV swarms. In: Applied Soft Computing, vol. 111, pp. 107701, 2021.

doi> 10.1016/j.asoc.2021.107701 | [BibTex] | [Archivos]
@article{Stolfi2021c,
  title = {A competitive Predator–Prey approach to enhance surveillance by UAV swarms},
  journal = {Applied Soft Computing},
  volume = {111},
  pages = {107701},
  year = {2021},
  issn = {1568-4946},
  doi = {10.1016/j.asoc.2021.107701},
  author = {Daniel H. Stolfi and Matthias R. Brust and Gr\'{e}goire Danoy and Pascal Bouvry},
  keywords = {Swarm robotics, Computer simulation, Mobility model, Unmanned aerial vehicle, Competitive coevolutionary genetic algorithm},
}
Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga

Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga

Daniel H. Stolfi and Enrique Alba. Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga. In: Applied Soft Computing, vol. 109, pp. 107566, 2021.

doi> 10.1016/j.asoc.2021.107566 | [BibTex]
@Article{Stolfi2021b,
  author   = {Daniel H. Stolfi and Enrique Alba},
  journal  = {Applied Soft Computing},
  title    = {Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga},
  year     = {2021},
  issn     = {1568-4946},
  pages    = {107566},
  volume   = {109},
  doi      = {10.1016/j.asoc.2021.107566},
  groups   = {My Publications},
  keywords = {epiGenetic algorithm, Smart mobility, LED panel, Travel time, Greenhouse gas emissions, Fuel consumption}
}
CONSOLE: intruder detection using a UAV swarm and security rings

CONSOLE: intruder detection using a UAV swarm and security rings

Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. CONSOLE: intruder detection using a UAV swarm and security rings. In: Swarm Intelligence, vol. 15, No. 3, pp. 205-235, 2021.

doi> 10.1007/s11721-021-00193-7 | [BibTex]
@Article{Stolfi2021a,
  author    = {Daniel H. Stolfi and Matthias R. Brust and Gr{\'{e}}goire Danoy and Pascal Bouvry},
  journal   = {Swarm Intelligence},
  title     = {CONSOLE: intruder detection using a UAV swarm and security rings},
  year      = {2021},
  issn      = {1935-3820},
  number    = {3},
  pages     = {205--235},
  volume    = {15},
  doi       = {10.1007/s11721-021-00193-7},
  groups    = {My Publications},
  publisher = {Springer Science and Business Media {LLC}},
  refid     = {Stolfi2021},
  url       = {10.1007/s11721-021-00193-7},
}
Swarm-based counter UAV defense system

Swarm-based counter UAV defense system

Matthias R. Brust and Grégoire Danoy and Daniel H. Stolfi and Pascal Bouvry. Swarm-based counter UAV defense system. In: Discover Internet of Things, vol. 1, No. 1, 2021.

doi> 10.1007/s43926-021-00002-x | [BibTex]
@Article{Brust2021,
  author    = {Matthias R. Brust and Gr{\'{e}}goire Danoy and Daniel H. Stolfi and Pascal Bouvry},
  journal   = {Discover Internet of Things},
  title     = {Swarm-based counter {UAV} defense system},
  year      = {2021},
  month     = {feb},
  number    = {1},
  volume    = {1},
  doi       = {10.1007/s43926-021-00002-x},
  groups    = {My Publications},
  publisher = {Springer Science and Business Media {LLC}},
}
UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance

UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance

Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. In: Frontiers in Robotics and AI, vol. 8, 2021.

doi> 10.3389/frobt.2021.616950 | [BibTex]
@article{Stolfi2021,
  author = {Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr{\'{e}}goire and Bouvry, Pascal},
  doi = {10.3389/frobt.2021.616950},
  issn = {2296-9144},
  journal = {Frontiers in Robotics and AI},
  month = {feb},
  title = {{UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance}},
  url = {https://www.frontiersin.org/articles/10.3389/frobt.2021.616950/full},
  volume = {8},
  year = {2021}
}
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques

Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques

Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. In: Sensors, vol. 20, No. 9, 2020.

doi> 10.3390/s20092566 | [BibTex]
@article{s20092566,
  author = {Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr{\'e}goire and Bouvry, Pascal},
  title = {Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques},
  journal = {Sensors},
  volume = {20},
  year = {2020},
  number = {9},
  url = {https://www.mdpi.com/1424-8220/20/9/2566},
  issn = {1424-8220},
  doi = {10.3390/s20092566}
}
Can I Park in the City Center? Predicting Car Park Occupancy Rates in Smart Cities

Can I Park in the City Center? Predicting Car Park Occupancy Rates in Smart Cities

Daniel H. Stolfi and Enrique Alba and Xin Yao. Can I Park in the City Center? Predicting Car Park Occupancy Rates in Smart Cities. In: Journal of Urban Technology, vol. 27, No. 4, pp. 27-41, 2020.

doi> 10.1080/10630732.2019.1586223 | [BibTex] | [Archivos]
@article{doi:10.1080/10630732.2019.1586223,
  author = {Stolfi, Daniel H. and Alba, Enrique and Yao, Xin},
  title = {Can I Park in the City Center? Predicting Car Park Occupancy Rates in Smart Cities},
  journal = {Journal of Urban Technology},
  volume = {27},
  number = {4},
  pages = {27-41},
  year  = {2020},
  publisher = {Routledge},
  doi = {10.1080/10630732.2019.1586223},
}
Green Swarm: Greener routes with bio-inspired techniques

Green Swarm: Greener routes with bio-inspired techniques

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

doi> 10.1016/j.asoc.2018.07.032 | [BibTex] | [Archivos]
@article{STOLFI2018952,
  title = "Green Swarm: Greener routes with bio-inspired techniques",
  journal = "Applied Soft Computing",
  volume = "71",
  pages = "952 - 963",
  year = "2018",
  issn = "1568-4946",
  doi = "10.1016/j.asoc.2018.07.032",
  url = "http://www.sciencedirect.com/science/article/pii/S1568494618304204",
  author = "Daniel H. Stolfi and Enrique Alba",
  keywords = "Evolutionary algorithm, Road traffic, Smart city, Smart mobility, Gas emissions, Wi-Fi connections",
}
Generating realistic urban traffic flows with evolutionary techniques

Generating realistic urban traffic flows with evolutionary techniques

Daniel H. Stolfi and Enrique Alba. Generating realistic urban traffic flows with evolutionary techniques. In: Engineering Applications of Artificial Intelligence, vol. 75, pp. 36-47, 2018.

doi> 10.1016/j.engappai.2018.07.009 | [BibTex] | [Archivos]
@article{STOLFI201836,
  title = "Generating realistic urban traffic flows with evolutionary techniques",
  journal = "Engineering Applications of Artificial Intelligence",
  volume = "75",
  pages = "36 - 47",
  year = "2018",
  issn = "0952-1976",
  doi = "10.1016/j.engappai.2018.07.009",
  url = "http://www.sciencedirect.com/science/article/pii/S0952197618301532",
  author = "Daniel H. Stolfi and Enrique Alba",
  keywords = "Evolutionary algorithm, Traffic simulation, Smart mobility, SUMO, Road traffic optimization, O–D matrix",
}
Epigenetic algorithms: A New way of building GAs based on epigenetics

Epigenetic algorithms: A New way of building GAs based on epigenetics

Daniel H. Stolfi and Enrique Alba. Epigenetic algorithms: A New way of building GAs based on epigenetics. In: Information Sciences, vol. 424, No. Supplement C, pp. 250-272, 2018.

doi> 10.1016/j.ins.2017.10.005 | [BibTex] | [Archivos1] | [Archivos2]
@article{STOLFI2018250,
  author = {Stolfi, Daniel H. and Alba, Enrique},
  doi = {10.1016/j.ins.2017.10.005},
  issn = {0020-0255},
  journal = {Information Sciences},
  keywords = {Evolutionary algorithm; Epigenetics; MKP; Bio-insp},
  number = {Supplement C},
  pages = {250--272},
  title = {{Epigenetic algorithms: A New way of building GAs based on epigenetics}},
  url = {http://www.sciencedirect.com/science/article/pii/S0020025517309921},
  volume = {424},
  year = {2018},
}
Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms

Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms

Daniel H. Stolfi and Enrique Alba. Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms. In: Applied Soft Computing, vol. 24, pp. 181-195, 2014.

doi> 10.1016/j.asoc.2014.07.014 | [BibTex]
@article{Stolfi2014,
  title = "Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms",
  journal = "Applied Soft Computing",
  volume = "24",
  pages = "181 - 195",
  year = "2014",
  issn = "1568-4946",
  doi = "10.1016/j.asoc.2014.07.014",
  author = "Daniel H. Stolfi and Enrique Alba",
  keywords = "Evolutionary algorithm, Road traffic, Smart city, Smart mobility, WiFi connections, Traffic light"
}
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