Daniel H. Stolfi

Orcid: 0000-0002-1138-8130

According to our database1, Daniel H. Stolfi authored at least 33 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An ARGoS plug-in for the Crazyflie drone.
CoRR, 2024

2023
Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator.
Robotics Auton. Syst., June, 2023

Evaluating Surrogate Models for Robot Swarm Simulations.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Optimising autonomous robot swarm parameters for stable formation design.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
CONSOLE: intruder detection using a UAV swarm and security rings.
Swarm Intell., 2021

UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance.
Frontiers Robotics AI, 2021

Swarm-based counter UAV defense system.
Discov. Internet Things, 2021

A competitive Predator-Prey approach to enhance surveillance by UAV swarms.
Appl. Soft Comput., 2021

Yellow Swarm: LED panels to advise optimal alternative tours to drivers in the city of Malaga.
Appl. Soft Comput., 2021

Improving Pheromone Communication for UAV Swarm Mobility Management.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Optimising pheromone communication in a UAV swarm.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques.
Sensors, 2020

Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection.
Proceedings of the Optimization and Learning - Third International Conference, 2020

Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

2019
Parking Birmingham.
Dataset, January, 2019

2018
Epigenetic algorithms: A New way of building GAs based on epigenetics.
Inf. Sci., 2018

Generating realistic urban traffic flows with evolutionary techniques.
Eng. Appl. Artif. Intell., 2018

Green Swarm: Greener routes with bio-inspired techniques.
Appl. Soft Comput., 2018

Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

Natural evolution tells us how to best make goods delivery: use vans.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

An Intelligent Advisor for City Traffic Policies.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Predicting Car Park Occupancy Rates in Smart Cities.
Proceedings of the Smart Cities - Second International Conference, Smart-CT 2017, Málaga, 2017

Computing new optimized routes for GPS navigators using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths.
Proceedings of the Smart Cities - First International Conference, Smart-CT 2016, Málaga, 2016

Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel Case.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

An Evolutionary Algorithm to Generate Real Urban Traffic Flows.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms.
Appl. Soft Comput., 2014

Eco-friendly reduction of travel times in european smart cities.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Red Swarm: smart mobility in cities with EAS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture.
Proceedings of the Advances in Artificial Intelligence, 2013


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