Usuario

@inproceedings{10.1007/978-3-030-00374-6_36,

title = {An Intelligent Advisor for City Traffic Policies},

author = {Daniel H Stolfi and Christian Cintrano and Francisco Chicano and Francisco Enrique Alba" %editor="Herrera and Sergio Damas and Rosana Montes and Sergio Alonso and Óscar Cordón and Antonio González and Alicia Troncoso},

isbn = {978-3-030-00374-6},

year  = {2018},

date = {2018-01-01},

booktitle = {Advances in Artificial Intelligence},

pages = {383--393},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how authorities could improve the road traffic by endorsing long term policies to change the different vehicle proportions: sedans, minivans, full size vans, trucks, and motorbikes, without losing the ability of moving cargo throughout the city. We have performed our study in a realistic scenario (map, road traffic characteristics, and number of vehicles) of the city of Malaga and captured the many details into the SUMO microsimulator. After analyzing the relationship between travel times, emissions, and fuel consumption, we have defined a multiobjective optimization problem to be solved, so as to minimize these city metrics. Our results provide a scientific evidence that we can improve the delivery of goods in the city by reducing the number of heavy duty vehicles and fostering the use of vans instead.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stolfi:2018:NET:3205651.3205764,

title = {Natural Evolution Tells Us How to Best Make Goods Delivery: Use Vans},

author = {Daniel H Stolfi and Christian Cintrano and Francisco Chicano and Enrique Alba},

doi = {10.1145/3205651.3205764},

isbn = {978-1-4503-5764-7},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},

pages = {308--309},

publisher = {ACM},

address = {Kyoto, Japan},

series = {GECCO '18},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{318,

title = {Lecture Notes in Computer ScienceAdvances in Artificial IntelligenceStudying Solutions of the p-Median Problem for the Location of Public Bike Stations},

author = {Christian Cintrano and Francisco Chicano and Thomas Stützle and Enrique Alba},

editor = {Francisco Herrera and Sergio Damas and Rosana Montes and Sergio Alonso and Óscar Cordón and Antonio González and Alicia Troncoso},

url = {https://doi.org/10.1007/978-3-030-00374-6_19},

doi = {10.1007/978-3-030-00374-6_19},

issn = {0302-9743},

year  = {2018},

date = {2018-01-01},

volume = {11160},

pages = {198 - 208},

publisher = {Springer International Publishing},

address = {Cham},

organization = {Springer International Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-030-00374-6_19,

title = {Studying Solutions of the p-Median Problem for the Location of Public Bike Stations},

author = {Christian Cintrano and Francisco Chicano and Thomas Stützle and Francisco Enrique Alba" %editor="Herrera and Sergio Damas and Rosana Montes and Sergio Alonso and Óscar Cordón and Antonio González and Alicia Troncoso},

isbn = {978-3-030-00374-6},

year  = {2018},

date = {2018-01-01},

booktitle = {Advances in Artificial Intelligence},

pages = {198--208},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {The use of bicycles as a means of transport is becoming more and more popular today, especially in urban areas, to avoid the disadvantages of individual car traffic. In fact, city managers react to this trend and actively promote the use of bicycles by providing a network of bicycles for public use and stations where they can be stored. Establishing such a network involves the task of finding best locations for stations, which is, however, not a trivial task. In this work, we examine models to determine the best location of bike stations so that citizens will travel the shortest distance possible to one of them. Based on real data from the city of Malaga, we formulate our problem as a p-median problem and solve it with a variable neighborhood search algorithm that was automatically configured with irace. We compare the locations proposed by the algorithm with the real ones used currently by the city council. We also study where new locations should be placed if the network grows.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Camero2017,

title = {Tile map size optimization for real world routing by using differential evolution},

author = {Andres Camero and Javier Arellano-Verdejo and Christian Cintrano and Enrique Alba},

doi = {10.1109/CEC.2017.7969478},

isbn = {978-1-5090-4601-0},

year  = {2017},

date = {2017-06-01},

booktitle = {2017 IEEE Congress on Evolutionary Computation (CEC)},

pages = {1482--1488},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}