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README.md
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@@ -19,9 +19,22 @@ An intelligent machine modelling assistant for combinatorial optimisation. This
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Mathematical modelling has an important role in science, business, civic services, and government operations and is traditionally conducted by expert mathematicians. However, there is a shortage of trained expert mathematicians in Australia that has a direct impact on quality and timely mathematical modelling. Optimisation modelling is a prime example of mathematical modelling that has improved business processes by saving resources or increasing efficiency for optimal outcomes. This research will make it possible for non-mathematician users to develop models tailored to their requirements through interacting with a computer. Our prototype will assist non-experts in formulating optimisation models for a range of planning, scheduling, resource allocation, timetabling problems and will benefit businesses and not-for-profit organisations. In doing so, this project will utilise a natural language processing-based agent with knowledge bases and Artificial Intelligence solutions to deliver economic and societal benefits according to Australia’s Tech Future report 2018.
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<b>National Interest Test Statement:</b>
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Mathematical modelling has an important role in science, business, civic services, and government operations and is traditionally conducted by expert mathematicians. However, there is a shortage of trained expert mathematicians in Australia that has a direct impact on quality and timely mathematical modelling. Optimisation modelling is a prime example of mathematical modelling that has improved business processes by saving resources or increasing efficiency for optimal outcomes. This research will make it possible for non-mathematician users to develop models tailored to their requirements through interacting with a computer. Our prototype will assist non-experts in formulating optimisation models for a range of planning, scheduling, resource allocation, timetabling problems and will benefit businesses and not-for-profit organisations. In doing so, this project will utilise a natural language processing-based agent with knowledge bases and Artificial Intelligence solutions to deliver economic and societal benefits according to Australia’s Tech Future report 2018.
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<b>Publications:</b>
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<a href="https://huggingface.co/course/chapter1"> Qingyang Li, Lele Zhang, Vicky Mak-Hau: Synthesizing mixed-integer linear programming models from natural language descriptions [2023] </a>
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