Using graphical information systems to improve vehicle routing problem instances.

Urquhart, Neil B; Scott, Catherine; Hart, Emma

Abstract

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 street network data to increase the relevence and challenge of our work. A particular benefit of real world street data is the ability to support vehicle emissions modeling. Thus allowing emissions to be used as an optimisation criterion. Two on-line demonstrations are presented which demonstrate the use of GIS data obtained from Open Street Map and Google Maps. The demonstrations prove the concept that Evolutionary Algorithms may be used to solve problem instances that are based upon GIS derrived data.

Citation

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

• Conference Name: 15th annual conference companion on Genetic and evolutionary computation
• Start Date: Jul 6, 2013
• End Date: Jul 10, 2013
• Publication Date: Jul 6, 2013
• Deposit Date: Aug 26, 2013
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Pages: 1097-1102
• Book Title: GECCO'13 Companion
• ISBN: 978-1-4503-1964-5
• DOI: https://doi.org/10.1145/2464576.2466802
• Keywords: Optimisation; vehicle routing; Low CO2 routing; real-worldproblems
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/6249
• Publisher URL: http://dx.doi.org/10.1145/2464576.2466802