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Socio-Economic Objective : Mathematical sciences
Research Topic : Productivity
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  • Funded Activity

    Discovery Projects - Grant ID: DP0771709

    Funder
    Australian Research Council
    Funding Amount
    $231,090.00
    Summary
    Filled function methods for global optimization and their applications. Many real problems in science, commerce and industry are restricted in the way that they are modelled and solved by the known inability to deal with global optimization problems. The development of computational efficient global optimization methods in this project will allow new more complete approaches to these problems, especially in new areas of bio-informatics, data mining, economic modelling, supply chain management, .... Filled function methods for global optimization and their applications. Many real problems in science, commerce and industry are restricted in the way that they are modelled and solved by the known inability to deal with global optimization problems. The development of computational efficient global optimization methods in this project will allow new more complete approaches to these problems, especially in new areas of bio-informatics, data mining, economic modelling, supply chain management, air traffic management, biochemical engineering and automotive industry, consequently helping Australia advance in these various areas. It will also enhance the understanding of global optimization from both theoretical and numerical viewpoints, particularly boosting optimization research in Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343998

    Funder
    Australian Research Council
    Funding Amount
    $335,000.00
    Summary
    Operations research without convexity. Operations Research (OR) is one of the most applicable areas of mathematics and of importance for the future of technologically advanced Australia. However, applications of OR often require convexity. This is a serious limitation. A new approach, monotonic analysis, which is applicable to a broad class of nonconvex problems, was given birth by the CI. Promising results have been obtained and leading researchers around the world (including the Presidents .... Operations research without convexity. Operations Research (OR) is one of the most applicable areas of mathematics and of importance for the future of technologically advanced Australia. However, applications of OR often require convexity. This is a serious limitation. A new approach, monotonic analysis, which is applicable to a broad class of nonconvex problems, was given birth by the CI. Promising results have been obtained and leading researchers around the world (including the Presidents of the Canadian Mathematical and French Applied Mathematics Societies) are keen to work with the CI developing this topic. This project both cements and extends world leadership in this field.
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    Funded Activity

    Discovery Projects - Grant ID: DP0559113

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    HYBRID METHODS FOR SOLVING LARGE-SCALE OPTIMISATION PROBLEMS. Mathematical modelling and optimisation plays a crucial role in the advancement of modern business, science and technology. A significant benefit of this project is the development of a range of powerful computational tools for improving the productivity of Australian industry, including: agriculture; communications; defence; manufacturing; mining and petroleum; transport and logistics. These tools will be built upon advances in the f .... HYBRID METHODS FOR SOLVING LARGE-SCALE OPTIMISATION PROBLEMS. Mathematical modelling and optimisation plays a crucial role in the advancement of modern business, science and technology. A significant benefit of this project is the development of a range of powerful computational tools for improving the productivity of Australian industry, including: agriculture; communications; defence; manufacturing; mining and petroleum; transport and logistics. These tools will be built upon advances in the fundamental theory developed by the research team. The resulting high quality publications and associated algorithms will greatly enhance Australia's international scientific reputation and provide Australian industry with new cutting-edge optimisation technology.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665946

    Funder
    Australian Research Council
    Funding Amount
    $605,760.00
    Summary
    Robust methods for hard optimization problems. Highly advanced industrial and information-based societies depend on complex systems that underpin their infrastructure and technologies. Mathematical modelling and optimization techniques are most frequently deployed for the development and refinement of these systems. This project focuses on an important class of difficult optimization problems that arise in many applications. A significant benefit of this project is the development of a number of .... Robust methods for hard optimization problems. Highly advanced industrial and information-based societies depend on complex systems that underpin their infrastructure and technologies. Mathematical modelling and optimization techniques are most frequently deployed for the development and refinement of these systems. This project focuses on an important class of difficult optimization problems that arise in many applications. A significant benefit of this project is the development of a number of robust methods for these hard optimization problems. These methods will be built upon advances in the fundamental theory developed by the research team. The resulting high quality publications and associated algorithms will greatly enhance Australia's international scientific reputation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0877424

    Funder
    Australian Research Council
    Funding Amount
    $231,000.00
    Summary
    Forecasting with single source of randomness state space models. The framework developed in this project, for identifying and extrapolating trends, seasonal patterns and economic cycles in time series, has a large and diverse range of useful applications in Australia. Some examples include its potential use in the development of appropriate monetary policy, its use to better inform finance markets of risk levels associated with shares, its use to forecast demand in supply chains to provide .... Forecasting with single source of randomness state space models. The framework developed in this project, for identifying and extrapolating trends, seasonal patterns and economic cycles in time series, has a large and diverse range of useful applications in Australia. Some examples include its potential use in the development of appropriate monetary policy, its use to better inform finance markets of risk levels associated with shares, its use to forecast demand in supply chains to provide a better service to customers, and its use in call centres to better tailor staff schedules to meet customer calls.
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