Journals

1. 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},
   }
   

2. 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},
   }
   

3. 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},
   }
   

4. 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] | [Files]

   @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}
   }
   

5. 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},
   }
   

6. 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}
   }
   

7. 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},
   }
   

8. 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}},
   }
   

9. 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}
   }
   

10. 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},
    }
    

11. 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},
    }
    

12. 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}
    }
    

13. 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},
    }
    

14. 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",
    }
    

15. 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",
    }
    

16. 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"
    }
    

Conference Proceedings

1. Daniel H. Stolfi and Grégoire Danoy. Evaluating Surrogate Models for Robot Swarm Simulations. In: Optimization and Learning, Cham: Springer Nature Switzerland, 2023, pp. 224-235.

   doi> 10.1007/978-3-031-34020-8_17 | [BibTex] | [Slides]

   @InProceedings{Stolfi2023b,
     author    = {Stolfi, Daniel H. and Danoy, Gr{\'e}goire},
     booktitle = {Optimization and Learning},
     title     = {Evaluating Surrogate Models for Robot Swarm Simulations},
     year      = {2023},
     address   = {Cham},
     editor    = {Dorronsoro, Bernab{\'e} and Chicano, Francisco and Danoy, Gregoire and Talbi, El-Ghazali},
     pages     = {224--235},
     publisher = {Springer Nature Switzerland},
     isbn      = {978-3-031-34020-8},
     doi       = {10.1007/978-3-031-34020-8_17},
   }
   

2. Daniel H. Stolfi and Grégoire Danoy. Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, in GECCO '23 Companion. New York, NY, USA: Association for Computing Machinery, 2023, pp. 771–774.

   doi> 10.1145/3583133.3590651 | [BibTex] | [Slides]

   @InProceedings{Stolfi2023c,
     author    = {Stolfi, Daniel H. and Danoy, Gr\'{e}goire},
     booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation},
     title     = {Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques},
     year      = {2023},
     address   = {New York, NY, USA},
     pages     = {771–774},
     publisher = {Association for Computing Machinery},
     series    = {GECCO '23 Companion},
     doi       = {10.1145/3583133.3590651},
     isbn      = {9798400701207},
     keywords  = {evolutionary algorithm, simulated annealing, swarm robotics, formation control, spacecraft constellation, orbital simulation},
     location  = {Lisbon, Portugal},
     numpages  = {4},
     url       = {https://doi.org/10.1145/3583133.3590651},
   }
   

3. Daniel H. Stolfi and Grégoire Danoy. Optimising Autonomous Robot Swarm Parameters for Stable Formation Design. In: Proceedings of the Genetic and Evolutionary Computation Conference, in GECCO '22. New York, NY, USA: Association for Computing Machinery, 2022, pp. 1281–1289.

   doi> 10.1145/3512290.3528709 | [BibTex] | [Slides]

   @inproceedings{10.1145/3512290.3528709,
     author = {Stolfi, Daniel H. and Danoy, Gr\'{e}goire},
     title = {Optimising Autonomous Robot Swarm Parameters for Stable Formation Design},
     year = {2022},
     isbn = {9781450392372},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {10.1145/3512290.3528709},
     doi = {10.1145/3512290.3528709},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
     pages = {1281–1289},
     numpages = {9},
     keywords = {e-puck2, evolutionary algorithm, formation control, argos3 simulator, swarm robotics},
     location = {Boston, Massachusetts},
     series = {GECCO '22},
   }
   

4. Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. Optimising Pheromone Communication in a UAV Swarm. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, in GECCO '21. New York, NY, USA: Association for Computing Machinery, 2021, pp. 323–324.

   doi> 10.1145/3449726.3459526 | [BibTex] | [Slides]

   @InProceedings{Stolfi2021d,
     author    = {Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr\'{e}goire and Bouvry, Pascal},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     title     = {Optimising Pheromone Communication in a UAV Swarm},
     year      = {2021},
     address   = {New York, NY, USA},
     pages     = {323–324},
     publisher = {Association for Computing Machinery},
     series    = {GECCO '21},
     doi       = {10.1145/3449726.3459526},
     groups    = {My Publications},
     isbn      = {9781450383516},
     keywords  = {mobility model, surveillance system, unmanned aerial vehicle, swarm robotics, pheromones, evolutionary algorithm},
     location  = {Lille, France},
     numpages  = {2},
   }
   

5. Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. Improving Pheromone Communication for UAV Swarm Mobility Management. In: Computational Collective Intelligence, Cham: Springer International Publishing, 2021, pp. 228-240.

   doi> 10.1007/978-3-030-88081-1_17 | [BibTex] | [Slides]

   @InProceedings{Stolfi2021e,
     author    = {Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr{\'e}goire and Bouvry, Pascal},
     booktitle = {Computational Collective Intelligence},
     title     = {Improving Pheromone Communication for UAV Swarm Mobility Management},
     year      = {2021},
     address   = {Cham},
     editor    = {Nguyen, Ngoc Thanh and Iliadis, Lazaros and Maglogiannis, Ilias and Trawi{\'{n}}ski, Bogdan},
     pages     = {228--240},
     publisher = {Springer International Publishing},
     groups    = {My Publications},
     isbn      = {978-3-030-88081-1},
     doi       = {10.1007/978-3-030-88081-1_17},
   }
   

6. Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms. In: 2020 IEEE 17th Annual Consumer Communications Networking Conference (CCNC), 2020, pp. 1-6.

   doi> 10.1109/CCNC46108.2020.9045643 | [BibTex] | [Slides]

   @INPROCEEDINGS{9045643,
     author={Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr{\'e}goire and Bouvry, Pascal},
     booktitle={2020 IEEE 17th Annual Consumer Communications   Networking Conference (CCNC)},
     title={A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms},
     year={2020},
     volume={},
     number={},
     pages={1-6},
     doi={10.1109/CCNC46108.2020.9045643},
   }
   

7. Daniel H. Stolfi and Matthias R. Brust and Grégoire Danoy and Pascal Bouvry. Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection. In: Optimization and Learning, Cham: Springer International Publishing, 2020, pp. 37-48.

   doi> 10.1007/978-3-030-41913-4_4 | [BibTex] | [Slides]

   @InProceedings{10.1007/978-3-030-41913-4_4,
     author="Stolfi, Daniel H. and Brust, Matthias R. and Danoy, Gr{\'e}goire and Bouvry, Pascal",
     editor="Dorronsoro, Bernab{\'e} and Ruiz, Patricia and de la Torre, Juan Carlos and Urda, Daniel and Talbi, El-Ghazali",
     title="Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection",
     booktitle="Optimization and Learning",
     year="2020",
     publisher="Springer International Publishing",
     address="Cham",
     pages="37--48",
     isbn="978-3-030-41913-4",
     doi="10.1007/978-3-030-41913-4_4",
   }
   

8. Daniel H. Stolfi and M. R. Brust and G. Danoy and P. Bouvry. Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates. In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 528-535.

   doi> 10.1109/IPDPSW50202.2020.00094 | [BibTex] | [Slides]

   @INPROCEEDINGS{9150444,
     author={Daniel H. {Stolfi} and M. R. {Brust} and G. {Danoy} and P. {Bouvry}},
     booktitle={2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
     title={Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates},
     year={2020},
     volume={},
     number={},
     pages={528-535},
     doi={10.1109/IPDPSW50202.2020.00094},
   }
   

9. Andrés Camero and Jamal Toutouh and Daniel H. Stolfi and Enrique Alba. Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities. In: Learning and Intelligent Optimization, Cham: Springer International Publishing, 2019, pp. 386-401.

   doi> 10.1007/978-3-030-05348-2_32 | [BibTex]

   @InProceedings{10.1007/978-3-030-05348-2_32,
     author="Camero, Andr{\'e}s and Toutouh, Jamal and Stolfi, Daniel H. and Alba, Enrique",
     editor="Battiti, Roberto and Brunato, Mauro and Kotsireas, Ilias and Pardalos, Panos M.",
     title="Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities",
     booktitle="Learning and Intelligent Optimization",
     year="2019",
     publisher="Springer International Publishing",
     address="Cham",
     pages="386--401",
     isbn="978-3-030-05348-2",
     doi="10.1007/978-3-030-05348-2_32"
   }
   

10. C. Alcaraz and E. Abdo-Sánchez and J. Toutouh and R. Halir and M. Ruiz and Daniel H. Stolfi. Some Ingredients to Improve Gamification in Engineering. In: EDULEARN18 Proceedings, in 10th International Conference on Education and New Learning Technologies. IATED, 2018, pp. 7040-7044.

    doi> 10.21125/edulearn.2018.1662 | [BibTex]

    @InProceedings{ALCARAZ2018SOM,
      author = {Alcaraz, C. and Abdo-S{\'{a}}nchez, E. and Toutouh, J. and Halir, R. and Ruiz, M. and Stolfi, Daniel H.},
      title = {Some Ingredients to Improve Gamification in Engineering},
      series = {10th International Conference on Education and New Learning Technologies},
      booktitle = {EDULEARN18 Proceedings},
      isbn = {978-84-09-02709-5},
      issn = {2340-1117},
      doi = {10.21125/edulearn.2018.1662},
      url = {http://dx.doi.org/10.21125/edulearn.2018.1662},
      publisher = {IATED},
      location = {Palma, Spain},
      month = {2-4 July, 2018},
      year = {2018},
      pages = {7040-7044}
    }
    

11. Daniel H. Stolfi and Christian Cintrano and Francisco Chicano and Enrique Alba. Natural Evolution Tells Us How to Best Make Goods Delivery: Use Vans. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, in GECCO '18. New York, NY, USA: ACM, 2018, pp. 308-309.

    doi> 10.1145/3205651.3205764 | [BibTex] | [Slides]

    @inproceedings{Stolfi:2018:NET:3205651.3205764,
      acmid = "3205764",
      address = "New York, NY, USA",
      author = "Stolfi, Daniel H. and Cintrano, Christian and Chicano, Francisco and Alba, Enrique",
      booktitle = "{Proceedings of the Genetic and Evolutionary Computation Conference Companion}",
      doi = "10.1145/3205651.3205764",
      isbn = "978-1-4503-5764-7",
      keywords = "application; city policy; evolutionary algorithm; real world; road traffic; smart mobility",
      location = "Kyoto, Japan",
      numpages = "2",
      pages = "308--309",
      publisher = "ACM",
      series = "{GECCO '18}",
      title = "{Natural Evolution Tells Us How to Best Make Goods Delivery: Use Vans}",
      url = "http://doi.acm.org/10.1145/3205651.3205764",
      year = "2018",
    }
    

12. Daniel H. Stolfi and Christian Cintrano and Francisco Chicano and Enrique Alba. An Intelligent Advisor for City Traffic Policies. In: Advances in Artificial Intelligence, Cham: Springer International Publishing, 2018, pp. 383–393.

    doi> 10.1007/978-3-030-00374-6_36 | [BibTex]

    @inproceedings{10.1007/978-3-030-00374-6_36,
      address = "Cham",
      author = "Stolfi, Daniel H. and Cintrano, Christian and Chicano, Francisco and Alba, Enrique",
      booktitle = "Advances in Artificial Intelligence",
      isbn = "978-3-030-00374-6",
      pages = "383–393",
      publisher = "Springer International Publishing",
      title = "An Intelligent Advisor for City Traffic Policies",
      year = "2018",
      doi = "10.1007/978-3-030-00374-6_36"
    }
    

13. C Alcaraz and E Abdo and R Halir and J Toutouh and M Ruiz and Daniel H. Stolfi. Gamification to Fight Lack of Motivation and Heterogeneity in Engineering. In: EDULEARN17 Proceedings, in 9th International Conference on Education and New Learning Technologies. IATED, 2017, pp. 3662-3668.

    doi> 10.21125/edulearn.2017.1794 | [BibTex]

    @inproceedings{ALCARAZ2017GAM,
      author = {Alcaraz, C and Abdo, E and Halir, R and Toutouh, J and Ruiz, M and Stolfi, Daniel H.},
      booktitle = {EDULEARN17 Proceedings},
      doi = {10.21125/edulearn.2017.1794},
      isbn = {978-84-697-3777-4},
      issn = {2340-1117},
      pages = {3662--3668},
      publisher = {IATED},
      series = {9th International Conference on Education and New Learning Technologies},
      title = {{Gamification to Fight Lack of Motivation and Heterogeneity in Engineering}},
      url = {http://dx.doi.org/10.21125/edulearn.2017.1794},
      year = {2017}
    }
    

14. Daniel H. Stolfi and Enrique Alba. Computing New Optimized Routes for GPS Navigators Using Evolutionary Algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference, in GECCO '17. New York, NY, USA: ACM, 2017, pp. 1240-1247.

    doi> 10.1145/3071178.3071193 | [BibTex] | [Slides]

    @inproceedings{Stolfi:2017:CNO:3071178.3071193,
      author = {Stolfi, Daniel H. and Alba, Enrique},
      title = {Computing New Optimized Routes for GPS Navigators Using Evolutionary Algorithms},
      booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
      series = {GECCO '17},
      year = {2017},
      isbn = {978-1-4503-4920-8},
      location = {Berlin, Germany},
      pages = {1240--1247},
      numpages = {8},
      url = {http://doi.acm.org/10.1145/3071178.3071193},
      doi = {10.1145/3071178.3071193},
      acmid = {3071193},
      publisher = {ACM},
      address = {New York, NY, USA},
      keywords = {application, evolutionary algorithm, real world, road traffic, smart city, smart mobility},
    }
    

15. Daniel H. Stolfi and Enrique Alba and Xin Yao. Predicting Car Park Occupancy Rates in Smart Cities. In: Smart Cities: Second International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings, Cham: Springer International Publishing, 2017, pp. 107-117.

    doi> 10.1007/978-3-319-59513-9_11 | [BibTex] | [Slides]

    @InProceedings{Stolfi2017,
      author    = {Stolfi, Daniel H. and Alba, Enrique and Yao, Xin},
      booktitle = {Smart Cities: Second International Conference, Smart-CT 2017, M{\'{a}}laga, Spain, June 14-16, 2017, Proceedings},
      title     = {Predicting Car Park Occupancy Rates in Smart Cities},
      year      = {2017},
      address   = {Cham},
      editor    = {Alba, Enrique and Chicano, Francisco and Luque, Gabriel},
      pages     = {107--117},
      publisher = {Springer International Publishing},
      doi       = {10.1007/978-3-319-59513-9_11},
      isbn      = {978-3-319-59513-9},
    }
    

16. Christian Cintrano and Daniel H. Stolfi and Jamal Toutouh and Francisco Chicano and Enrique Alba. CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths. In: Smart Cities: First International Conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, Proceedings, Cham: Springer International Publishing, 2016, pp. 63-75.

    doi> 10.1007/978-3-319-39595-1_7 | [BibTex]

    @InProceedings{Cintrano2016,
      author    = {Cintrano, Christian and Stolfi, Daniel H. and Toutouh, Jamal and Chicano, Francisco and Alba, Enrique},
      booktitle = {Smart Cities: First International Conference, Smart-CT 2016, M{\'{a}}laga, Spain, June 15-17, 2016, Proceedings},
      title     = {{CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths}},
      year      = {2016},
      address   = {Cham},
      editor    = {Alba, Enrique and Chicano, Francisco and Luque, Gabriel},
      pages     = {63--75},
      publisher = {Springer International Publishing},
      doi       = {10.1007/978-3-319-39595-1_7},
      isbn      = {978-3-319-39595-1},
    }
    

17. 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},
    }
    

18. 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},
    }
    

19. Daniel H. Stolfi and Enrique Alba. Un Algoritmo Evolutivo para la Reducción de Tiempos de Viaje y Emisiones Utilizando Paneles LED. In: X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, in MAEB 2015. Mérida - Almendralejo: 2015, pp. 27-34.

    [BibTex] | [Slides]

    @inproceedings{Stolfi2015:MAEB,
      address = {M{\'{e}}rida - Almendralejo},
      author = {Stolfi, Daniel H. and Alba, Enrique},
      booktitle = {X Congreso Espa{\~{n}}ol sobre Metaheur{\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados},
      isbn = {978-84-697-2150-6},
      keywords = {Algoritmo Evolutivo,Emisiones de gases,Movilidad Inteligente,Paneles LED,Tiempos de Viaje,Tr{\'{a}}fico Rodado},
      pages = {27--34},
      series = {MAEB 2015},
      title = {{Un Algoritmo Evolutivo para la Reducci{\'{o}}n de Tiempos de Viaje y Emisiones Utilizando Paneles LED}},
      year = {2015},
    }
    

20. Daniel H. Stolfi and Enrique Alba. An Evolutionary Algorithm to Generate Real Urban Traffic Flows. In: Advances in Artificial Intelligence, in Lecture Notes in Computer Science. Cham: Springer International Publishing, 2015, pp. 332-343.

    doi> 10.1007/978-3-319-24598-0_30 | [BibTex] | [Slides]

    @InProceedings{Stolfi2015,
      author    = {Stolfi, Daniel H. and Alba, Enrique},
      booktitle = {Advances in Artificial Intelligence},
      title     = {{An Evolutionary Algorithm to Generate Real Urban Traffic Flows}},
      year      = {2015},
      address   = {Cham},
      editor    = {Puerta, Jos{\'{e}} M and G{\'{a}}mez, Jos{\'{e}} A and Dorronsoro, Bernabe and Barrenechea, Edurne and Troncoso, Alicia and Baruque, Bruno and Galar, Mikel},
      pages     = {332--343},
      publisher = {Springer International Publishing},
      series    = {Lecture Notes in Computer Science},
      volume    = {9422},
      doi       = {10.1007/978-3-319-24598-0_30},
      isbn      = {978-3-319-24597-3},
      keywords  = {Evolutionary algorithm, SUMO, Smart city, Smart mobility, Traffic simulation, smart mobility},
    }
    

21. 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},
    }
    

22. 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},
    }
    

23. 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},
    }
    

Books and Chapters

1. Daniel H. Stolfi and Enrique Alba. Chapter 14 - Sustainable Road Traffic Using Evolutionary Algorithms. In: Sustainable Transportation and Smart Logistics, Elsevier, 2019, pp. 361-380.

   doi> 10.1016/B978-0-12-814242-4.00014-4 | [BibTex]

   @incollection{STOLFI2019361,
     title = "Chapter 14 - Sustainable Road Traffic Using Evolutionary Algorithms",
     booktitle = "Sustainable Transportation and Smart Logistics",
     publisher = "Elsevier",
     pages = "361 - 380",
     year = "2019",
     isbn = "978-0-12-814242-4",
     doi = "10.1016/B978-0-12-814242-4.00014-4",
     url = "http://www.sciencedirect.com/science/article/pii/B9780128142424000144",
     author = "Daniel H. Stolfi and Enrique Alba",
     keywords = "Evolutionary algorithm, Intelligent transportation systems, LED panels, Road traffic, Smart mobility, Wi-Fi connections",
   }
   

2. Daniel H. Stolfi and Sergio Gálvez Rojas. CoMVeT - Control Mental de Vehículos Teledirigidos. 2011, p. 130.

   [BibTex] | [Files]

   @book{Stolfi2011,
     author = {Stolfi, Daniel H. and {G{\'{a}}lvez Rojas}, Sergio},
     isbn = {978-84-694-3343-0},
     pages = {130},
     title = {{CoMVeT - Control Mental de Veh{\'{i}}culos Teledirigidos}},
     volume = {129},
     year = {2011},
   }
   

3. Daniel H. Stolfi and Sergio Gálvez Rojas. Mundos Virtuales 3D con VRML97. 2010, p. 160.

   [BibTex] | [Files]

   @book{Stolfi2010,
     author = {Stolfi, Daniel H. and {G{\'{a}}lvez Rojas}, Sergio},
     isbn = {978-84-693-0321-4},
     pages = {160},
     title = {{Mundos Virtuales 3D con VRML97}},
     year = {2010}
   }