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Bio-inspired Computing and Smart Mobility

Thesis Title: Bio-inspired Computing and Smart Mobility
Thesis PDF: [ PDF ]
Thesis Summary: [ PDF ]
Candidate's Curriculum Vitae: [ PDF ]
Supporting Publications:

Daniel H. Stolfi and Enrique Alba. Epigenetic algorithms: A New way of building GAs based on epigenetics. In: Information Sciences, vol. 424, pp. 250–272, 2018. doi> 10.1016/j.ins.2017.10.005

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

 

Daniel H. Stolfi and Enrique Alba. Green Swarm: Greener Routes with Bio-inspired Techniques. In: Applied Soft Computing, Minor revision

Daniel H. Stolfi and Enrique Alba. Generating Realistic Urban Traffic Flows with Evolutionary Techniques. Engineering Applications of Artificial Intelligence, Major revision.

Stay Certificate: [ PDF ]
   
Chair: Pino Caballero (ULL)
Secretary: Gabriel Luque (UMA)
Member: John McCall (RGU, UK)
   
Alternate member 1: Ignacio Matías (UNPA) / Alicia Troncoso (UPO)
Alternate member 2: Francisco Chicano (UMA)
Alternate member 3: Pascal Bouvry (ULUX)
   
External Reviewer 1: Konstantinos Parsopoulos (GR)
External Reviewer 2: Joni Jamsa (FIN)
External Reviewer 3: Floriano De Rango (UCAL, IT)

 

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