ECU offers innovative and practical courses across a variety of disciplines and we have a vibrant research culture. ECU is a leader in developing alternative entry pathways to higher education.
We have three campuses in Western Australia. Joondalup and Mount Lawley in the Perth metropolitan area and our South West campus in Bunbury, 200km south of the Perth CBD.
ECU provides a variety of services and facilities that go beyond the classroom, with opportunities for personal development and social interaction for students and staff.
We collaborate with all types of businesses, including new start-ups, small to medium enterprises, not-for-profits, community organisations, government and large corporates in the resources sector.
Children's University Edith Cowan aims to inspire students between seven and fourteen to develop confidence and a love of learning through validated activities beyond the school curriculum.
The Inspiring Minds scholarship program are equity scholarships that give students an opportunity to access an education that may otherwise be out of reach.
Masek, M., Lam, P., Kelly, L., Wong, M. (2023). Discovering optimal strategy in tactical combat scenarios through the evolution of behaviour trees. Annals of Operations Research, 320(2), 901-936. https://doi.org/10.1007/s10479-021-04225-7.
Conference Publications
Masek, M., Kelly, L., Snell, J., Wheat, D., Lam, P. (2023). Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations. GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (743-746). Association for Computing Machinery. https://doi.org/10.1145/3583133.3590644.
Kelly, L., Masek, M., Lam, P. (2022). Environment driven dynamic decomposition for cooperative coevolution of multi-agent systems. GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference (1218–1226). Association for Computing Machinery. https://doi.org/10.1145/3512290.3528759.
Masek, M., Lam, P., Kelly, L., Benke, L., Papasimeon, M. (2021). A Genetic Programming Framework for Novel Behaviour Discovery in Air Combat Scenarios. Data and Decision Sciences in Action 2. Proceedings of the ASOR/DORS Conference 2018 (263-277). Springer. https://doi.org/10.1007/978-3-030-60135-5_19.
Masek, M., Lam, P., Rybicki, T., Snell, J., Wheat, D., Kelly, L., Glassborow, D., Smith-Gander, C. (2021). The Open Maritime Traffic Analysis Dataset. MODSIM2021, 24th International Congress on Modelling and Simulation (981-987). Modelling and Simulation Society of Australia and New Zealand. https://doi.org/10.36334/modsim.2021.M9.masek.
Lam, P., Masek, M., Kelly, L., Papasimeon, M., Benke, L. (2019). A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics. Operations Research Perspectives, 6(2019), Article Number 100123. https://doi.org/10.1016/j.orp.2019.100123.
Conference Publications
Masek, M., Lam, P., Kelly, L., Wong, M. (2019). Evolving behaviour trees for automated discovery of novel combat strategy in real-time strategy wargames. MODSIM2019, 23rd International Congress on Modelling and Simulation (277-283). Modelling and Simulation Society of Australia and New Zealand. https://ro.ecu.edu.au/ecuworkspost2013/7571.
Masek, M., Lam, P., Benke, L., Kelly, L., Papasimeon, M. (2018). Discovering Emergent Agent Behaviour with Evolutionary Finite State Machines. PRIMA 2018: Principles and Practice of Multi-Agent Systems (19-34). Springer. https://doi.org/10.1007/978-3-030-03098-8_2.
Research Projects
Evolutionary Algorithms for Real Time Strategy games, Defence Science and Technology Group of the Department of Defence, Grant, 2018 ‑ 2019, $53,373.
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