Problem instances / source code

Optimising Robot Swarm Formations by Using Surrogate Models and Simulations

Results from experiments, Simulations, and Distributed Formation Algorithm³ (DFA³). [ Download ]

Please, cite our article:

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] | [Files]

@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

ARGoS plug-in for the E-Puck2 Robot. [ Download ]

Please, cite our article:

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] | [Files]

@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},
}

A Competitive Predator-Prey Approach to Enhance Surveillance by UAV Swarms

Results from experiments. [ Download ]
Simulator and mobility models. [ Download ]

Please, cite our article:

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] | [Files]

@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

Maps of Malaga with realistic traffic flows imported from OpenStreetMap into the traffic microsimulator SUMO version 0.31.0. [ Download ]

Please, cite our article:

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}
}

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

Dataset used to calculate the occupancy rates of 32 car parks in Birmingham (2016-10-04 - 2017-04-28), 11 car parks in Glasgow (2016-10-26 - 2017-12-05), 18 car parks in Norfolk (2016-10-26 - 2017-12-05), and 26 car parks in Nottingham (2016-10-26 - 2017-11-28). [ Download ]

Please, cite our article:

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] | [Files]

@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},
}

Generating realistic urban traffic flows with evolutionary techniques:

Generator's scripts and maps of Malaga having realistic traffic flows for working days, Saturdays, and Sundays, imported from OpenStreetMap into the traffic microsimulator SUMO version 0.25.0. [ Download ]

Please, cite our article:

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] | [Files]

@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",
}

Green Swarm: Greener Routes with Bio-inspired Techniques:

Maps of Malaga, Berlin, Stockholm, and Paris imported from OpenStreetMap into the traffic microsimulator SUMO version 0.25.0. [ Download ]

Please, cite our article:

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] | [Files]

@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",
}

Epigenetic algorithms: A New way of building GA's based on epigenetics:

Binaries, JavaDoc, and Source code of the epiGenetic Algorithm, including test instances of the MKP. [ Download JAVA ] [ Download Python ]

Please, cite our article:

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] | [Files1] | [Files2]

@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},
}

Fine Tuning of Traffic in Our Cities with Smart Panels: The Quito City Case Study:

Map of Quito imported from OpenStreetMap into the traffic microsimulator SUMO version 0.31.0. [ Download ]

Please, cite our article:

Daniel H. Stolfi and Rolando Armas and Enrique Alba and Hernan Aguirre and Kiyoshi Tanaka. Fine Tuning of Traffic in Our Cities with Smart Panels: The Quito City Case Study. In: Proceedings of the Genetic and Evolutionary Computation Conference 2016, in GECCO '16. New York, NY, USA: ACM, 2016, pp. 1013-1019.

doi> 10.1145/2908812.2908868 | [BibTex] | [Slides] | [Files]

@inproceedings{Stolfi:2016:FTT:2908812.2908868,
  author = {Stolfi, Daniel H. and Armas, Rolando and Alba, Enrique and Aguirre, Hernan and Tanaka, Kiyoshi},
  title = {Fine Tuning of Traffic in Our Cities with Smart Panels: The Quito City Case Study},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference 2016},
  series = {GECCO '16},
  year = {2016},
  isbn = {978-1-4503-4206-3},
  location = {Denver, Colorado, USA},
  pages = {1013--1019},
  numpages = {7},
  doi = {10.1145/2908812.2908868},
  acmid = {2908868},
  publisher = {ACM},
  address = {New York, NY, USA},
  keywords = {LED panels, application, evolutionary algorithm, real world, road traffic, smart city, smart mobility},
}

Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel Case:

Maps of Malaga and Madrid imported from OpenStreetMap into the traffic microsimulator SUMO (netfile) version 0.22.0. [ Download ]

Please, cite our article:

Daniel H. Stolfi and Enrique Alba. Smart Mobility Policies with Evolutionary Algorithms. In: Proceedings of the 2015 on Genetic and Evolutionary Computation Conference, in GECCO '15. New York, NY, USA: ACM, 2015, pp. 1287-1294.

doi> 10.1145/2739480.2754742 | [BibTex] | [Slides]

@inproceedings{Stolfi:2015:SMP:2739480.2754742,
  address = {New York, NY, USA},
  author = {Stolfi, Daniel H. and Alba, Enrique},
  booktitle = {Proceedings of the 2015 on Genetic and Evolutionary Computation Conference},
  doi = {10.1145/2739480.2754742},
  isbn = {9781450334723},
  keywords = {application,evolutionary algorithm,led panels,road traffic,smart city,smart mobility},
  pages = {1287--1294},
  publisher = {ACM},
  series = {GECCO '15},
  title = {{Smart Mobility Policies with Evolutionary Algorithms}},
  url = {http://dl.acm.org/citation.cfm?doid=2739480.2754742},
  year = {2015},
}

Eco-friendly Reduction of Travel Times in European Smart Cities:

Maps of Berlin, Malaga, Paris and Stockholm imported from OpenStreetMap into the traffic simulator SUMO (netfile) version 0.19.0. Results (CSV files) and TraCI libraries are also included. [ Download ]

Please, cite our article:

Daniel H. Stolfi and Enrique Alba. Eco-friendly Reduction of Travel Times in European Smart Cities. In: Proceedings of the 2014 Conference on Genetic and Evolutionary Computation, in GECCO '14. New York, NY, USA: ACM, 2014, pp. 1207-1214.

doi> 10.1145/2576768.2598317 | [BibTex] | [Slides] | [Files]

@inproceedings{Stolfi:2014:ERT:2576768.2598317,
  address = {New York, NY, USA},
  author = {Stolfi, Daniel H. and Alba, Enrique},
  booktitle = {Proceedings of the 2014 Conference on Genetic and Evolutionary Computation},
  doi = {10.1145/2576768.2598317},
  isbn = {978-1-4503-2662-9},
  keywords = {application,evolutionary algorithm,gas emissions,road traffic,smart city,smart mobility,wifi connections},
  pages = {1207--1214},
  publisher = {ACM},
  series = {GECCO '14},
  title = {{Eco-friendly Reduction of Travel Times in European Smart Cities}},
  year = {2014},
}

Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture:

Map of Malaga imported from OpenStreetMap into the traffic simulator SUMO (netfile) version 0.18.0. [ Download ]

Please, cite our article:

Daniel H. Stolfi and Enrique Alba. Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture. In: Advances in Artificial Intelligence, in Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 289-299.

doi> 10.1007/978-3-642-40643-0_30 | [BibTex] | [Slides] | [Files]

@InProceedings{Stolfi2013,
  author    = {Stolfi, Daniel H. and Alba, Enrique},
  booktitle = {Advances in Artificial Intelligence},
  title     = {Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture},
  year      = {2013},
  address   = {Berlin, Heidelberg},
  editor    = {Bielza, Concha and Salmer{\'o}n, Antonio and Alonso-Betanzos, Amparo and Hidalgo, J. Ignacio and Mart{\'i}nez, Luis and Troncoso, Alicia and Corchado, Emilio and Corchado, Juan M.},
  pages     = {289--299},
  publisher = {Springer Berlin Heidelberg},
  series    = {Lecture Notes in Computer Science},
  volume    = {8109},
  doi       = {10.1007/978-3-642-40643-0_30},
  isbn      = {978-3-642-40643-0},
  keywords  = {Application, Evolutionary Algorithm, Gas Emissions, Road Traffic, Smart City, Smart Mobility},
}

Eco-friendly Reduction of Travel Times in European Smart Cities:

Map of Malaga imported from OpenStreetMap into the traffic simulator SUMO (netfile) version 0.18.0. [ Download ]

Please, cite our article:

Daniel H. Stolfi and Enrique Alba. Red Swarm: Smart Mobility in Cities With EAs. In: Proceeding of the Fifteenth Annual Conference on Genetic and Evolutionary Computation Conference, in GECCO '13. New York, NY, USA: ACM, 2013, pp. 1373-1380.

doi> 10.1145/2463372.2463540 | [BibTex] | [Slides] | [Files]

@inproceedings{Stolfi:2013:RSS:2463372.2463540,
  address = {New York, NY, USA},
  author = {Stolfi, Daniel H. and Alba, Enrique},
  booktitle = {Proceeding of the Fifteenth Annual Conference on Genetic and Evolutionary Computation Conference},
  doi = {10.1145/2463372.2463540},
  isbn = {978-1-4503-1963-8},
  keywords = {application,evolutionary algorithm,road traffic,smart city,smart mobility,wifi connections},
  pages = {1373--1380},
  publisher = {ACM},
  series = {GECCO '13},
  title = {{Red Swarm: Smart Mobility in Cities With EAs}},
  year = {2013},
}