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New Aggregation Methods for Multicommodity Network Flow Problems: Theory and Applications to Locomotive Refueling

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thesis
posted on 07.09.2021, 23:58 by AHMAD KAZEMI
Large scale network optimization problems appear in a wide variety of logistical and transportation applications. However, such problems are usually difficult to solve using current technology. This thesis is motivated by such a problem in railroad fuel management. It designs mixed-integer programming methods and algorithms to solve the fuel-related challenges of the largest Australian railroad company. Moreover, it extends state-of-the-art optimization techniques to handle large scale network optimization problems, including the fuel management problem that has motivated the thesis.

History

Campus location

Australia

Principal supervisor

Andreas Ernst

Additional supervisor 1

Pierre Le Bodic

Additional supervisor 2

Mohan Krishnamoorthy

Year of Award

2021

Department, School or Centre

Mathematics

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Science

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