Multi-Modal employee routing with time windows in an urban environment.

Urquhart, Neil B; Hart, Emma; Judson, Alistair

Abstract

An urban environment provides a number of challenges and opportunities
for organisations faced with the task of scheduling a mobile
workforce. Given a mixed set of public and private transportation
and a list of scheduling constraints, we seek to find solutions that
are optimised with respect to the objectives of CO2 emissions and
time. An optimiser, based on the NSGA-II algorithm, is used to
find a range of solutions that offer the multiple options by trading
CO2 emissions against time

Citation

Urquhart, N. B., Hart, E., & Judson, A. (2015). Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference (1503-1504). https://doi.org/10.1145/2739482.2764649

• Start Date: Jul 11, 2015
• End Date: Jul 15, 2015
• Acceptance Date: May 11, 2015
• Publication Date: 2015
• Deposit Date: Apr 30, 2015
• Publisher: Association for Computing Machinery
• Peer Reviewed: Peer Reviewed
• Pages: 1503-1504
• Book Title: Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference
• ISBN: 978-1-4503-3488-4
• DOI: https://doi.org/10.1145/2739482.2764649
• Keywords: Evolutionary Algorithms; Transportation; Multi-Objective Optimisation
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7805
• Publisher URL: http://dx.doi.org/10.1145/2739482.2764649