High-dimensional multi-objective spatial risk and sustainability tools using cloud-enabled evolutionary computing.

使用支持云的进化计算的高维多目标空间风险和可持续性工具。

• 批准号: 2220798
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2220798
• 关键词: dimensional; multi; objective; spatial; risk

The project will use nationally available data-sets, on factors such as climate related hazards and population demographics, to investigate how temporal spatial plans can be developed to minimise exposure to spatial risk whilst maximising key local, regional and national sustainability objectives. The thesis will utilise recent advances within computer technology by employing cloud computing and evolutionary computing techniques to provide the next generation of multi-objective, spatial risk and sustainability development plans for the UK.

该项目将使用全国可用的数据集，包括气候相关灾害和人口统计等因素，研究如何制定时空规划，以最大限度地减少空间风险，同时最大限度地实现关键的地方、区域和国家可持续发展目标。本文将利用计算机技术的最新进展，采用云计算和进化计算技术，为英国提供下一代多目标、空间风险和可持续性发展计划。

项目成果

A multi-objective spatial optimisation framework for sustainable urban development

城市可持续发展的多目标空间优化框架

• DOI: 10.5281/zenodo.3968849
• 发表时间: 2019
• 作者: Tregonning G