课题基金 / 基金详情

Multi-disciplinary Optimisation and Data Mining at Birmingham

Multi-disciplinary Optimisation and Data Mining at Birmingham
伯明翰的多学科优化和数据挖掘
批准号:
EP/F033087/1
负责人:
Xin Yao
金额:
$45.56万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2008
资助国家:
英国
项目状态:
已结题
起止时间:
2008 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
The University of Birmingham's commitment to collaboration across different disciplines is established through its Research Strategy and embodied in its Collaborative Research Networks (CRNs). The Strategy recognises that cross-School research is difficult to initiate, promote and ultimately to sustain. Building on the exceptional strengths within the disciplines, the Strategy identifies nine major cross-disciplinary research themes and four enabling technology themes (www.research.bham.ac.uk) and the use of Collaborative Research Networks to promote interdisciplinary working within each of the themes. Each CRN has an academic Champion who acts as advocate for the Network, promoting and fostering interdisciplinary research (IDR). Such a strategic approach to the promotion of multidisciplinary working provides a strong foundation and puts the University in a potentially unique position to take advantage of this opportunity. The CRNs and associated IDR activities underline the University's strategy and ability to support and deliver IDR and this proposal seeks funds to develop routes by which deeper and sustainable collaborations can be built upon such a foundation among the disciplines of Computer Science, Mathematics, Engineering, Chemistry and Psychology, adding significant value to current and future initiatives. This proposal will support linkages between the Informatics, Communications Technologies, Molecules & Materials, Transport Technology, Sustainable Environment, Energy and Resources, and Imaging and Visualisation CRNs. The focus of this proposal is on optimisation and data mining, which underly numerous real world challenges in different disciplines, especially as we collect more and more data due to the advance in technologies. Most of these optimisation and data mining problems cannot be tackled effectively by researchers from any single disciplines, because a good solution can only be found with in-depth knowledge in both the problem domain as well as the techniques/algorithms that are applicable. At least two different disciplines need to be involved.This proposal will bring people together, enable them to communicate with other, make available time and space for them to interact intensively, provide forums from them to identify long-term and fundamental research challenges, create an environment and culture that foster multidisciplinary research, and enables them to develop sustained research programmes and write high-quality grant proposals.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Intelligent Computer Mathematics
智能计算机数学
DOI: 10.1007/978-3-540-85110-3_29
发表时间: 2008
期刊:
影响因子: --
作者: [Bundy A]
通讯作者: Bundy A
Priestley Duality for Bilattices
Bilattices 的 Priestley 对偶
DOI: 10.1007/s11225-012-9376-0
发表时间: 2012
期刊: Studia Logica
影响因子: 0.7
作者: [Jung A]
通讯作者: Jung A
DOI: 10.1142/s0219455410003877
发表时间: 2012
期刊: International Journal of Structural Stability and Dynamics
影响因子: 3.6
作者: [CHEN J]
通讯作者: CHEN J
Determining the temperature from Cauchy data in corner domains
根据角域中的柯西数据确定温度
DOI: 10.1504/ijcsm.2010.033930
发表时间: 2010
期刊: International Journal of Computing Science and Mathematics
影响因子: 0.8
作者: [Johansson B]
通讯作者: Johansson B
Evolutionary Computation for Dynamic Optimisation in Network Environments
  • 批准号:
    EP/K001523/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $65.28万
  • 财政年份:
    2013
  • 负责人:
    Xin Yao
  • 依托单位:
Evolutionary Approximation Algorithms for Optimisation: Algorithm Design and Complexity Analysis
  • 批准号:
    EP/I010297/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $61.22万
  • 财政年份:
    2011
  • 负责人:
    Xin Yao
  • 依托单位:
Cooperatively Coevolving Particle Swarms for Large Scale Optimisation
  • 批准号:
    EP/G002339/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $3.61万
  • 财政年份:
    2008
  • 负责人:
    Xin Yao
  • 依托单位:
Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications
  • 批准号:
    EP/E058884/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $33.63万
  • 财政年份:
    2007
  • 负责人:
    Xin Yao
  • 依托单位:
海外基金