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Scheme : Discovery Projects
Australian State/Territory : NT
Research Topic : Evolutionary computation
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  • Funded Activity

    Discovery Projects - Grant ID: DP1097129

    Funder
    Australian Research Council
    Funding Amount
    $504,000.00
    Summary
    Multivariate Algorithmics: Meeting the Challenge of Real World computational complexity. This Project will result in better methods for designing the algorithms that all computer applications depend on. Algorithms are the instruction sets that tell computers how to process information. Some information processing tasks are intrinsically difficult, even for computers working at enormous speeds. This Project will deliver new mathematical approaches to overcome these difficulties. More efficient al .... Multivariate Algorithmics: Meeting the Challenge of Real World computational complexity. This Project will result in better methods for designing the algorithms that all computer applications depend on. Algorithms are the instruction sets that tell computers how to process information. Some information processing tasks are intrinsically difficult, even for computers working at enormous speeds. This Project will deliver new mathematical approaches to overcome these difficulties. More efficient algorithmic approaches for difficult problems enable advances in all areas of computer applications such as medical diagnosis and health prediction, national security, communications efficiency, industrial productivity and all fields of science and engineering.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101134

    Funder
    Australian Research Council
    Funding Amount
    $355,100.00
    Summary
    Local reoptimization for turbocharging heuristics. Theoretical computer science has up until now had little impact on the design of effective heuristics. While data sets may be large, significant structure is almost always present and important to take into account when designing algorithms. Parameterised complexity considers the underlying structure by parameterising not only on the size of the input but also on structural parameters. This project aims to take advantage of the many opportunitie .... Local reoptimization for turbocharging heuristics. Theoretical computer science has up until now had little impact on the design of effective heuristics. While data sets may be large, significant structure is almost always present and important to take into account when designing algorithms. Parameterised complexity considers the underlying structure by parameterising not only on the size of the input but also on structural parameters. This project aims to take advantage of the many opportunities for new theories in the design of new heuristics and in turbocharging existing heuristics for computationally hard problems.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102395

    Funder
    Australian Research Council
    Funding Amount
    $422,000.00
    Summary
    Are evolutionary refugia traps for endemic species? This project aims to determine whether species that have small geographic ranges and which live in historically stable refugia have evolved narrow climatic tolerances. The project will compare such species with more widespread, related species living in the same areas and combine field- and lab-based estimates of physiological tolerances with genomic estimates of population history and diversity. The expected outcome is to test the prediction f .... Are evolutionary refugia traps for endemic species? This project aims to determine whether species that have small geographic ranges and which live in historically stable refugia have evolved narrow climatic tolerances. The project will compare such species with more widespread, related species living in the same areas and combine field- and lab-based estimates of physiological tolerances with genomic estimates of population history and diversity. The expected outcome is to test the prediction from evolutionary theory that small-range, refugial species are intrinsically more sensitive to climatic change. The project expects to provide improved guidance for ecological management of biodiversity hotspots.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102176

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Skin Microbes and Animal Health: Understanding the Ecological Context. This project aims to understand the fundamental ecological relationships between animal hosts (frogs, geckos) and bacteria on their skin by separating host effects from environmental factors that determine skin microbiome composition. The research is significant because it will generate new knowledge needed to understand how skin microbes function in providing protection against disease. Expected outcomes include the provisio .... Skin Microbes and Animal Health: Understanding the Ecological Context. This project aims to understand the fundamental ecological relationships between animal hosts (frogs, geckos) and bacteria on their skin by separating host effects from environmental factors that determine skin microbiome composition. The research is significant because it will generate new knowledge needed to understand how skin microbes function in providing protection against disease. Expected outcomes include the provision of essential information that will guide future research efforts on the factors that determine a healthy skin microbial community (which is needed before skin diseases can be combated). The research will provide significant benefits, including more targeted conservation efforts to combat wildlife skin diseases.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210103227

    Funder
    Australian Research Council
    Funding Amount
    $417,000.00
    Summary
    Can animal dispersal inform fire management for species conservation? This project aims to improve fire management for environmental outcomes in northern Australia. It will address a key knowledge gap in our understanding of the effects of fire on biodiversity, relating to the spatial pattern of fire in the landscape. This is important because changing patterns of fire are not only a risk to humans but have major effects on our environment. This project will involve researchers, environmental ma .... Can animal dispersal inform fire management for species conservation? This project aims to improve fire management for environmental outcomes in northern Australia. It will address a key knowledge gap in our understanding of the effects of fire on biodiversity, relating to the spatial pattern of fire in the landscape. This is important because changing patterns of fire are not only a risk to humans but have major effects on our environment. This project will involve researchers, environmental managers and indigenous land owners to design better fire management strategies for biodiversity. The key benefits include new knowledge and tools to better manage fire and address one of our major environmental challenges, the decline of native wildlife in northern Australia.
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