Carbon Friendly Travel Plan Construction Using an Evolutionary Algorithm

Urquhart, N. (2007). Carbon Friendly Travel Plan Construction Using an Evolutionary Algorithm. In: Thierens, D., Beyer, H., Bongard, J., Branke, J., Clark, J., Cliff, D., Congdon, C., Deb, K., Doerr, B., Kovacs, T., Kumar, S., Miller, Julian F., Moore, J., Neumann, F., Pelikan, M., Riccardo, P. (Eds.) GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, , () ( ed.). (pp. 2269--2269). London, UK: . ACM.


ISBN: 978-1-59593-697-4
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Abstract

This paper discusses the use of an evolutionary algorithm to design workplace travel plans, to promote of car sharing and reduce carbon emissions from single-occupancy motor vehicles.
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Authors

Neil Urquhart
Lecturer
n.urquhart@napier.ac.uk
+44 131 455 2655

Areas of Expertise

Bio-inspired Computing
The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
Software Systems
The institute's expertise in software engineering encompasses the entire development lifecycle, and we focus on developing the approaches and tools to improve the engineering process of both emerging and widely used software systems.

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