AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks
Conference Proceeding
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017)
AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. In Y. Demazeau, P. Davidsson, J. Bajo, & Z. Vale (Eds.), Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. , (355-358). https://doi.org/10.1007/978-3-319-59930-4_37
AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geograph...
Planning and optimising organisational travel plans using an evolutionary algorithm.
Conference Proceeding
Urquhart, N. B. (2011)
Planning and optimising organisational travel plans using an evolutionary algorithm. In C. Chio, A. Brabazon, G. A. Caro, R. Drechsler, M. Farooq, J. Grahl, …G. Squillero (Eds.), Applications of Evolutionary Computation, (464-470). https://doi.org/10.1007/978-3-642-20520-0_47
Commuting to the workplace is a highly individualistic experience, especially where the private car is the chosen mode of transport. The costs of using cars with low occupancy...
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm.
Conference Proceeding
Urquhart, N. B., Hart, E., & Scott, C. (2010)
Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. In IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/CEC.2010.5586088
An evolutionary Multi-Objective Algorithm (MOA) is used to investigate the trade-off between CO2 savings, distance and number of vehicles used in a typical vehicle routing pro...
Solving Real-World Routing Problems using Evolutionary Algorithms and Multi-Agent-Systems.
Thesis
Urquhart, N. B. Solving Real-World Routing Problems using Evolutionary Algorithms and Multi-Agent-Systems. (Thesis)
Napier University. Retrieved from http://researchrepository.napier.ac.uk/id/eprint/2748
This thesis investigates the solving of routing problems using Evolutionary Algorithms (EAs). Routing problems are known to be hard and may possess complex search spaces. Evol...