ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA)
ARC 优化技术、集成方法和应用培训中心 (OPTIMA)
基本信息
- 批准号:IC200100009
- 负责人:
- 金额:$ 346.62万
- 依托单位:
- 依托单位国家:澳大利亚
- 项目类别:Industrial Transformation Training Centres
- 财政年份:2021
- 资助国家:澳大利亚
- 起止时间:2021-09-23 至 2027-09-22
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.
OPTIMA解决了行业对全球竞争力决策工具的迫切需求:缩短交货时间,降低财务和环境成本,同时提高效率、质量和敏捷性。尽管学术界有很强的专业知识,但由于进入门槛高,行业尚未从优化技术中充分受益。将行业合作伙伴与世界领先的跨学科研究人员和有才华的学生联系起来,OPTIMA将推进行业就绪的优化工具包,同时培训新一代行业从业者和120多名年轻研究人员,为先进制造业,能源资源和关键基础设施领域的转型提供高技能的变革推动者。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Prof Kate Smith-Miles其他文献
Prof Kate Smith-Miles的其他文献
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{{ truncateString('Prof Kate Smith-Miles', 18)}}的其他基金
Stress-testing algorithms: generating new test instances to elicit insights
压力测试算法:生成新的测试实例以得出见解
- 批准号:
FL140100012 - 财政年份:2014
- 资助金额:
$ 346.62万 - 项目类别:
Australian Laureate Fellowships
Optimising experimental design for robust product development: a case study for high-efficiency energy generation
优化实验设计以实现稳健的产品开发:高效能源发电的案例研究
- 批准号:
LP120200554 - 财政年份:2013
- 资助金额:
$ 346.62万 - 项目类别:
Linkage Projects
Footprints in instance space: visualising the suitability of optimisation algorithms
实例空间中的足迹:可视化优化算法的适用性
- 批准号:
DP120103678 - 财政年份:2012
- 资助金额:
$ 346.62万 - 项目类别:
Discovery Projects
Realising the promise of neural networks for practical optimisation: improving their efficiency and effectivess through chaotic dynamics and hardware implementation
实现神经网络对实际优化的承诺:通过混沌动力学和硬件实现提高其效率和效果
- 批准号:
DP0208976 - 财政年份:2002
- 资助金额:
$ 346.62万 - 项目类别:
Discovery Projects
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