Personal profile


Prof Andreas Ernst has over 20 years experience in the development of optimisation and simulation models to assist businesses with strategic and operational decision making. He is the deputy director of MAXIMA, the Monash Academy for Cross and Interdisciplinary Mathematical Applications. His research interests focus on scheduling and optimisation for large scale industrial applications, including high performance combinatorial optimisation algorithms, parallel matheuristics and network optimisation. Past projects have included optimisation of coal supply chains, scheduling of recreational vehicles (motorhomes), rostering and research into hub location algorithms.

Research interests

My research is primarily in the area of optimisation and operations research. I am interested in methods for solving large scale integer programs and the application of these to real world applications, particularly in the mining industry and logistics. Past work has included hub location (network design), mining supply chain optimisation, recreational vehicle scheduling and hybrid algorithms combining meta-heuristic with elements of exact methods. 

Lists of my publications can also be found at:

Google Scholar,



ResearcherID (incomplete),

Research Gate (not up to date).

Supervision interests

For potential PhD research projects see my personal home page.



  • Operations Research
  • Optimization
  • Integer Programming

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Projects 2016 2020

Hybrid methods with decomposition for large scale optimization

Li, X., Ernst, A. T. & Kalyanmoy, D.


Project: Research

Connectivity – From Sea to Rail, Sea to Road, Road to Rail

Ernst, A. T., Wallace, M., Widyastuti, H. & Krishnamoorthy, M.


Project: Research

Development of Software System for Group Work Scheduling

Wallace, M., Krishnamoorthy, M., Ernst, A. T., Belov, G., de Koninck, L., Sletten, T., Howard, M. E., Wilson Rajaratnam, S. M. & Lockley, S.


Project: Research

Research Output 1994 2017

A bi-level optimization model for grouping constrained storage location assignment problems

Xie, J., Mei, Y., Ernst, A., Li, X. & Song, A. 2017 (Accepted/In press) In : IEEE Transactions on Cybernetics. 14 p.

Research output: Contribution to journalArticle

Mathematical models for the berth allocation problem in dry bulk terminals

Ernst, A. T., Oğuz, C., Singh, G. & Taherkhani, G. 16 Feb 2017 (Accepted/In press) In : Journal of Scheduling. 15 p.

Research output: Contribution to journalArticle

New models and algorithms for the container stack rearrangement problem by yard cranes in maritime ports

Dayama, N. R., Ernst, A. T., Krishnamoorthy, M., Narayanan, V. & Rangaraj, N. Dec 2017 In : EURO Journal on Transportation and Logistics. 6, 4, p. 307-348 42 p.

Research output: Contribution to journalArticle

Resource constrained job scheduling with parallel constraint-based ACO

Cohen, D., Gómez-Iglesias, A., Thiruvady, D. & Ernst, A. T. 2017 Artificial Life and Computational Intelligence: Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - Feburary 2, 2017, Proceedings. Wagner, M., Li, X. & Hendtlass, T. (eds.). Cham, Switzerland: Springer, p. 266-278 13 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 10142)

Research output: Chapter in Book/Report/Conference proceedingConference Paper

A Benders decomposition approach to transmission expansion planning considering energy storage

MacRae, C. A. G., Ernst, A. T. & Ozlen, M. 1 Oct 2016 In : Energy. 112, p. 795-803 9 p.

Research output: Contribution to journalArticle

Activities 2017 2017

  • 2 Contribution to conference

AMSI Optimise

Ernst, A. T. (Organiser)
26 Jun 201730 Jun 2017

Activity: Contribution to conference

International Symposium on Scheduling 2017

Ernst, A. T. (Keynote/plenary speaker)
23 Jun 2017

Activity: Contribution to conference