Methods and software for efficiently solving the transportation crewing problem

  • Wallace, Mark (Primary Chief Investigator (PCI))
  • Boland, Natashia (Chief Investigator (CI))
  • Webb, Geoff (Chief Investigator (CI))
  • Evans, Ian (Partner Investigator (PI))
  • Gu, Hanyu (Partner Investigator (PI))

Project: Research

Project Description

Industrial combinatorial problems are hard to state, hard to solve and hard to implement. This project applies data mining to help state the problem and identify properties that make solutions robust, and it applies techniques for analysing and constructing optimisation algorithms to help generate efficient solutions that match the problem. Software that generates industrial benchmarks matching every kind of transportation crewing problem will drive our work, and encourage external research and industry to assess our results. A method for fast development of efficient solutions will represent both a technical and a social breakthrough, dramatically increasing the takeup of optimisation technology.
StatusFinished
Effective start/end date1/07/0831/12/12

Funding

  • Australian Research Council (ARC): AUD527,798.00
  • Australian Research Council (ARC): AUD38,440.00
  • Constraint Technologies International
  • Australian Research Council (ARC): AUD81,560.00
  • Australian Research Council (ARC): AUD192,202.00
  • Constraint Technologies International: AUD400,000.00
  • The University of Newcastle
  • Constraint Technologies International