Browse by Laboratory/Group/Centre

2024

Aslan, Bilal and Correa da Silva, Flavio and Nitschke, Geoff (2024) Multi-Objective Evolution for Chemical Product Design, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2024), 14-18 July, Melbourne, Australia, ACM.

Aslan, Bilal and Nitschke, Geoff (2024) Morpho-Material Evolution for Automated Robot Design, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2024), 14-18 July, Melbourne, Australia, ACM.

Nitschke, Geoff and Howard, David and Aslan, Bilal (2024) Automating Robot Design with Multi-Level Evolution, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2024), 30 June - 5 July, Yokohama, Japan, IEEE Press.

Mkhatshwa, Sindiso and Nitschke, Geoff (2024) Body and Brain Quality-Diversity in Robot Swarms, ACM Transactions on Evolutionary Learning and Optimization, 1-28, ACM.

2023

Aslan, B. and da Silva, F. and Nitschke, G. (2023) A Computational Method to Support Chemical Product Design Based on Multi-objective Optimisation and Graph Transformers, Proceedings of 2023 Conference on Artificial Life (ALIFE 2023), Sapporo, Japan, MIT Press.

Aslan, B. and da Silva, F. and Nitschke, G. (2023) Multi-objective Evolution for Automated Chemistry, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), Mexico City, Mexico., IEEE Press.

Aubert-Kato, N. and Nitschke, G. and Kawamata, I. and Kakugo, A. (2023) Collective Cargo Transport and Sorting with Molecular Swarms, Proceedings of 2023 Conference on Artificial Life (ALIFE 2023), 24-28 July 2023, Sapporo, Japan, MIT Press.

Flanagan, R. and Nitschke, G. (2023) Evolving Folding Bodies and Brains in Origami Robots, Proceedings of 2023 Conference on Artificial Life (ALIFE 2023), 24-28 July 2023, Sapporo, Japan, MIT Press.

Gower-Winter, B. and Nitschke, G. (2023) Inequality and the Emergence of Social Stratification., Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2023), 15-19 July 2023, ACM.

Gower-Winter, B. and Nitschke, G. (2023) Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), Mexico City, Mexico, IEEE Press.

Hallauer, S. and Nitschke, G. and Hart, E. (2023) Evolving Behavior Allocations in Robot Swarms, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), Mexico City, Mexico, IEEE Press.

Hallauer, S. and Nitschke, G. and Hart, E. (2023) Evolving Herding Behaviour Diversity in Robot Swarms, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2023), 15-19 July 2023, Lisbon, Portugal., ACM.

Mkhatshwa, S. and Nitschke, G. (2023) The Impact of Morphological Diversity in Robot Swarms, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2023), 15-19 July 2023, Lisbon, Portugal, ACM.

Montague, K and Hart, E and Nitschke, G and Paechter, B (2023) A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms, Proceedings of International Conference on the Applications of Evolutionary Computation, 12-14 April 2023, Brno, Czech Republic, Springer.

Muthelo, L and Mbombi, M.O and Bopape, M.A and Mothiba, T.M and Densmore, M and van Heerden, A and Norris, S.A and Dias, N.V and Griffiths, P and Mackintosh, N (2023) Reflections on Digital Maternal and Child Health Support for Mothers and Community Health Workers in Rural Areas of Limpopo Province, South Africa, International Journal of Environmental Research and Public Health, 20, Licensee MDPI, Basel, Switzerland..

2022

Abramowitz, Sasha and Nitschke, Geoff (2022) Scalable Evolutionary Hierarchical Reinforcement Learning, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2022), 9-13 July 2022, Boston, USA.

Abramowitz, Sasha and Nitschke, Geoff (2022) Towards Run-time Efficient Hierarchical Reinforcement Learning, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2022), 18-23 July 2022, Padua, Italy.

Gower-Winter, Brandon and Nitschke, Geoff (2022) Do Harsher Environments cause Selfish or Altruistic Behavior, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2022), 9-13 July 2022, Boston, USA.

Gower-Winter, Brandon and Nitschke, Geoff (2022) Extreme Environments Perpetuate Cooperation, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022), 4-7 December 2022.

Maccallum, Rob and Nitschke, Geoff (2022) Automated Ligand Design in Simulated Molecular Docking, Proceedings of 2022 Conference on Artificial Life (ALIFE 2022), 18-22 July 2022, Online.

Abdullahi, Tassallah and Nitschke, Geoff and Sweijd, Neville (2022) Predicting diarrhoea outbreaks with climate change, PLOS One, e0262008, 17, PLOS.

Kruger, N. and Abramowitz, S. and Nitschke, G. (2022) Machine Learning in Diagnosing Cervical Spine Injuries, Global Spine Journal, 12, 4S-204S, Sage journals.

2021

Abdullahi, T and Nitschke, G (2021) Disease Outbreaks: Tuning Predictive Machine Learning, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021).

Abdullahi, T and Nitschke, G (2021) Predicting Disease Outbreaks with Climate Data, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2021).

Furman, G and Nitschke, G (2021) Environmental Impact on Evolving Language Diversity, Proceedings of Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2021).

Furman, G and Nitschke, G (2021) The Role of Speaker Prestige in Synthetic Language Evolution, Proceedings of Conference on Artificial Life (ALIFE 2021).

Mailer, C and Nitschke, G (2021) Evolving Gaits for Damage Control in a Hexapod Robot, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021).

Spanellis, C and Stewart, B and Nitschke, G (2021) The Environment and Body-Brain Complexity, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021).

Nitschke, G and Howard, D (2021) AutoFac: The Perpetual Robot Machine, IEEE Transactions on Artificial Intelligence, IEEE.

2020

Nitschke, G (2020) Automating Automation: Lessons from R.U.R about the Future of Evolutionary Robotics, Robot 100, VŠCHT Praha.

Acton, S and Abramowitz, S and Toledo, L and Nitschke, E (2020) Efficiently Coevolving Deep Neural Networks and Data Augmentations, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020).

Furman, G and Nitschke, G (2020) Evolving an Artificial Creole, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2020).

Hallauer, S and Nitschke, G (2020) Energy and Complexity in Evolving Collective Robot Bodies and Brains, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2020).

Hallauer, S and Nitschke, G (2020) The Expense of Neuro-Morpho Functional Machines, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2020).

Huang, A and Nitschke, G (2020) Evolutionary Automation of Coordinated Autonomous Vehicles, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2020).