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Outputs (80)

Incorporating emissions models within a multi-objective vehicle routing problem. (2013)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2013, July). Incorporating emissions models within a multi-objective vehicle routing problem. Presented at 15th annual conference companion on Genetic and evolutionary computation

The vehicle routing problem with time windows (VRPTW) has previously been investigated as a multi-objective problem. In this paper estimated carbon emissions is added as an objective alongside the number of vehicles required and distance travelled. W... Read More about Incorporating emissions models within a multi-objective vehicle routing problem..

Using graphical information systems to improve vehicle routing problem instances. (2013)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2013, July). Using graphical information systems to improve vehicle routing problem instances. Presented at 15th annual conference companion on Genetic and evolutionary computation

This paper makes the assertion that vehicle routing rearch has produced increasingly more powerful problem solvers, but has not increased the realism or compexity of typical problem instances. This paper argues that the time has come of use realistic... Read More about Using graphical information systems to improve vehicle routing problem instances..

Planning and optimising organisational travel plans using an evolutionary algorithm. (2011)
Presentation / Conference Contribution
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)

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 rates are significant in environmental terms as well as requiring the prov... Read More about Planning and optimising organisational travel plans using an evolutionary algorithm..

State assignment for sequential circuits using multi-objective genetic algorithm (2011)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2011). State assignment for sequential circuits using multi-objective genetic algorithm. IET Computers and Digital Techniques, 5, 296-305. https://doi.org/10.1049/iet-cdt.2010.0045

In this study, a new approach using a multi-objective genetic algorithm (MOGA) is proposed to determine the optimal state assignment with less area and power dissipations for completely and incompletely specified sequential circuits. The goal is to f... Read More about State assignment for sequential circuits using multi-objective genetic algorithm.

Using emissions model with EAs. (2011)
Presentation / Conference Contribution
Urquhart, N. B. (2011, April). Using emissions model with EAs. Paper presented at YoungOR 17

Influence of topology and payload on CO2 optimised vehicle routing (2010)
Presentation / Conference Contribution
Scott, C., Urquhart, N. B., & Hart, E. (2010). Influence of topology and payload on CO2 optimised vehicle routing. In Applications of Evolutionary Computing (141-150). https://doi.org/10.1007/978-3-642-12242-2_15

This paper investigates the influence of gradient and payload correction factors used within a CO2 emission model on the solutions to shortest path and travelling salesman problems when applied to freight delivery. Problem instances based on real li... Read More about Influence of topology and payload on CO2 optimised vehicle routing.

Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem (2010)
Presentation / Conference Contribution
Urquhart, N. B., Scott, C., & Hart, E. (2010). Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. In C. Chio, A. Brabazon, G. A. Di Caro, M. Ebner, M. Farooq, A. Fink, …N. Urquhart (Eds.), Applications of evo

This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case-study examined is that of the Travelling Salesman Problem (TSP) based upon... Read More about Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem.

Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm. (2010)
Presentation / Conference Contribution
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 problem with Time Windows (VRPTW). A problem set is derived containing three... Read More about Building low CO2 solutions to the vehicle routing problem with time windows using an evolutionary algorithm..

Manipulation and optimization techniques for Boolean logic (2010)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2010). Manipulation and optimization techniques for Boolean logic. IET computers & digital techniques / IET, 4, 227-239. https://doi.org/10.1049/iet-cdt.2009.0007

In this study, new techniques and algorithms are presented for the derivation and optimisation of mixed polarity Reed Muller (MPRM) and mixed polarity dual Reed Muller (MPDRM) functions. The first algorithm is used for bidirectional conversion betwee... Read More about Manipulation and optimization techniques for Boolean logic.