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

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


Alistair Judson


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

Presentation Conference Type Conference Paper (Published)
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 (ACM)
Peer Reviewed Peer Reviewed
Pages 1503-1504
Book Title Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference
ISBN 978-1-4503-3488-4
Keywords Evolutionary Algorithms; Transportation; Multi-Objective Optimisation
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