Research Output

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

  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

  • 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

Citation

Urquhart, N. B., Hart, E. & Judson, A. (2014). Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference, 1503-1504. doi:10.1145/2739482.2764649. ISBN 978-1-4503-3488-4

Authors

Keywords

Evolutionary Algorithms; Transportation; Multi-Objective Optimisation

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