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...
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...
Optimising the scheduling and planning of urban milk deliveries.
Conference Proceeding
Urquhart, N. B. (2015)
Optimising the scheduling and planning of urban milk deliveries. In A. M. Mora, & G. Squillero (Eds.), Applications of Evolutionary Computation. , (604-615). https://doi.org/10.1007/978-3-319-16549-3_49
This paper investigates the optimisation of the delivery of dairy products to households in three urban areas. The requirement for the optimisation to be part of the existing ...