Discovery Early Career Researcher Award - Grant ID: DE140100017
Funder
Australian Research Council
Funding Amount
$394,800.00
Summary
Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such ....Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such traditional approaches unsuitable or intractable. This project aims to assist researchers and practitioners in solving complex combinatorial optimisation problems by adapting the optimisation strategy to the problem being solved, based on problem features such as search space difficulty. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100850
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers ....Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers can incorporate into next generation products: the products analyse their collected usage data, perform what-if analyses, and optimise their configurations accordingly for the next usage period. Hence, the products may respond faster, be more reliable, and consume less energy.Read moreRead less
ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand add ....ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand addresses issues about methodology, modelling toolkits, and management and control. Practical applications are advanced via collaborative projects that address key issues in biology, environment, and socio-economics.Read moreRead less
Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills ....Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills of power engineering optimisation, software systems and social science. Most of the demand response programs globally have focused on a pure economic incentive for variation of customer load. This project aims to make use of recent findings on the benefits of combining community engagement with the incentives.Read moreRead less
WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production ....WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production which is on time, minimize wastes and raw materials and inventories. The leading edge results will increase the contributions of these industries to the Australian economy and our global competitiveness necessary to maintain our culture and the beauty of our environment. Read moreRead less
Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be ....Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be captured and retained which reduces training cost and makes new staff more effective. The aim of the project is to develop a KBE environment for wire and conduit routing through complex structures and verify the benefits in an industry environment.Read moreRead less
Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing ....Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing the test error signal generated (the difference between the outputs of the two models). This is possible because one of the two versions is implemented in such a way that the test error carries an easily identifiable feature. This project could revolutionize the area of model verification.Read moreRead less
Large-Scale Emulation for Enterprise Software Systems. This project will deliver a key future software technology for scalable quality assurance of highly interconnected enterprise IT systems, significantly contributing to more reliable and effective business operations in all industry sectors. It will fill a market gap and give Australian businesses a world competitive advantage. The project will generate world-leading research outcomes and further cement Australia’s leading research position i ....Large-Scale Emulation for Enterprise Software Systems. This project will deliver a key future software technology for scalable quality assurance of highly interconnected enterprise IT systems, significantly contributing to more reliable and effective business operations in all industry sectors. It will fill a market gap and give Australian businesses a world competitive advantage. The project will generate world-leading research outcomes and further cement Australia’s leading research position in enterprise software systems engineering. In particular, it will make major contributions to research into complex large-scale system interaction, system performance and scalability, and system behaviour modelling. The project also provides an excellent training environment for young researchers. Read moreRead less
A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based de ....A framework for modelling feature variability and dependencies in software product lines. In most Australian software development organisations software products are developed individually rather than product line based. This project will promote the awareness of product line based software development and provide a frontier technology, the effective feature modelling approaches, to help Australian software industry transform from the single product based development to the product line based development to achieve significant improvement on the productivity and the quality of the software development. This improvement will dramatically reduce the cost of software products and alleviate the pressure of skill shortage that currently threatens Australian economy.Read moreRead less
Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – w ....Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.Read moreRead less