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

Research Output

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

Date:

31 December 2015
Publication Status:

Published
Publisher

ACM
DOI:

10.1145/2739482.2764649
Library of Congress:

QA75 Electronic computers. Computer science
Dewey Decimal Classification:

006.3 Artificial intelligence

http://researchrepository.napier.ac.uk/output/174853 <p>Urquhart, N. B., Hart, E., & Judson, A. (2015). Multi-Modal employee routing with time windows in an urban environment. In <i>Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference</i> (1503-1504). https://doi.org/10.1145/2739482.2764649</p>

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