NEXT GENERATION OPTIMISATION

Adiona was co-founded by Quang Huynh, a UNSW PhD candidate in Genetic Optimisation Algorithms, and Richard Savoie, an experienced professional Engineer and Commercialisation Executive with highly cited global patents.  We apply new and exciting research in the fields of optimization mathematics, network theory and modeling, machine learning, and artificial intelligence to real-world mobility problems. We bring these solutions directly to our customers so they get the benefit of world-first, bleeding-edge R&D output. Our efforts have been recognised by multiple competitive grants from the Australian and New South Wales governments.

Quang's research includes:

Journal articles

Chand S; Huynh Q; Singh H; Ray T; Wagner M, 2018, 'On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems', Information Sciences, vol. 432, pp. 146 - 163, http://dx.doi.org/10.1016/j.ins.2017.12.013

Huynh QN; Chand S; Singh HK; Ray T, 2018, 'Genetic Programming With Mixed-Integer Linear Programming-Based Library Search', IEEE Transactions on Evolutionary Computation, vol. 22, pp. 733 - 747, http://dx.doi.org/10.1109/TEVC.2018.2840056

Conference Papers

Huynh QN; Singh HK; Ray T, 2019, 'Investigating the use of linear programming to solve implicit symbolic regression problems', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 344 - 345, presented at , http://dx.doi.org/10.1145/3319619.3321889

Huynh QN; Singh HK; Ray T, 2017, 'Improving Symbolic Regression through a semantics-driven framework', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, presented at , http://dx.doi.org/10.1109/SSCI.2016.7849941

Huynh QN; Singh HK; Ray T, 2016, 'A semantics based symbolic regression framework for mining explicit and implicit equations from data', in GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 103 - 104, presented at , http://dx.doi.org/10.1145/2908961.2908989

Huynh QN; Singh HK; Ray T, 2016, 'Optimum redesign of scale-free networks with robustness and cost considerations', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 529 - 536, presented at , http://dx.doi.org/10.1109/CEC.2016.7743839

Adiona is also proud to partner with the UNSW Research Centre for Integrated Transport Innovation (rCITI), creating a linkage to market for their world-first operations research.

 

Our joint-research is headed by:

 

Dr David Rey is a recognised early career researcher in operations research with a focus on transportation science and logistics. He has a significant track record in developing solution methods to solve challenging optimization problems encountered in transportation and logistics. 

Dr Meead Saberi has a significant track record in network traffic flow theory and modelling. Dr Saberi is among the very few young, yet internationally recognised, scholars in Australia with traffic flow theory and network modelling expertise, making him capable of solving highly complex and sophisticated theoretical problems.

Professor Travis Waller is the leading researcher dynamic traffic assignment particularly approaches related to driver response to information and large-scale solution methodologies of dynamic traffic assignment. He is a worldwide recognised expert in network modelling and optimisation. 

Breaking news: Adiona and UNSW awarded highly competitive 2020 Australian Research Council Linkage grant to accelerate development of real-time dynamic decision support systems for logistics.