Expanding the Boundary of Optimisation Algorithms to Micro/Nano Scale Designs: Building New Research Collaborations

将优化算法的边界扩展到微/纳米尺度设计：建立新的研究合作

• 批准号: EP/F012926/1
• 负责人: Ashutosh Tiwari
• 金额: $ 8.02万
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF012926%2F1
• 关键词: Expanding; Boundary; Optimisation; Algorithms; Micro

Nanoscale devices have the potential of triggering a technological revolution in many fields. They can produce computers that can fit on the head of a pin, and medical nano-robots, smaller than a human cell, able to eliminate cancer, infections, clogged arteries and other ailments. This is an exciting field of research with rapidly growing commercial importance since sheer smallness can open up new applications. This proposal articulates new research collaborations that have the potential of traversing the complexity ceiling of current Micro-Electro-Mechanical Systems (MEMS) and facilitating the journey towards engineered nanoscale devices. MEMS claim to be the smallest functional machines that are currently engineered by humans. These are miniaturised mechanical devices and components, with a wide range of applications. For example, the advent of MEMS devices has enabled non-invasive surgical procedures that do not require incisions, hence improving surgical outcomes and patient recovery. Knowledge about the design and development of MEMS devices is improving with time. It is now possible to evaluate a MEMS design using quantitative and qualitative approaches. This project proposes a package of people-based activities and a short-term feasibility study to investigate if Evolutionary Computation (EC) based algorithmic optimisation techniques can operate with micro and nano precision to explore complex MEMS design space and invent novel designs that can go beyond MEMS. EC, which is an optimisation and search method based on the principles of natural evolution, has established itself in the macroscale domain as a technique that promotes innovation by exploring beyond what human designers can perceive. The current research portfolio and network of the Principal Investigator have also focused on EC-based optimisation of macroscale designs. This project will provide him with an excellent opportunity to expand his evolutionary computation research and network to the new domain of micro/nanoscale design. It seeks to develop a multi-disciplinary research community, involving evolutionary computation, design optimisation and micro/nanoscale design. This community will collaborate to develop a new research theme focused on the development of a novel computational capability for rapid and innovative optimisation of micro/nanoscale designs. This project will expand the boundary of EC research to the new domain of micro/nanoscale design optimisation. It seeks to transfer the vast knowledge and applications of macroscale design optimisation within EC community to the new domain of micro/nanoscale design. In this way, the inter-disciplinary nature of this project will contribute to building new collaborations between the areas of evolutionary computation, design optimisation and micro/nanoscale design.

纳米级器件有可能在许多领域引发技术革命。他们可以生产出针头大小的计算机，以及比人体细胞还小的医用纳米机器人，这些机器人能够消除癌症、感染、动脉阻塞和其他疾病。这是一个令人兴奋的研究领域，具有快速增长的商业重要性，因为纯粹的小可以开辟新的应用。该提案阐明了新的研究合作，这些合作有可能跨越当前微机电系统（MEMS）的复杂性上限，并促进工程纳米级器件的发展。MEMS声称是目前由人类设计的最小的功能机器。这些都是机械设备和部件，具有广泛的应用。例如，MEMS器件的出现使得不需要切口的非侵入性外科手术成为可能，从而改善了手术结果和患者恢复。关于MEMS器件的设计和开发的知识随着时间的推移而不断提高。现在可以使用定量和定性方法来评估MEMS设计。该项目提出了一系列以人为本的活动和短期可行性研究，以调查基于进化计算（EC）的算法优化技术是否可以以微米和纳米精度运行，以探索复杂的MEMS设计空间，并发明可以超越MEMS的新颖设计。EC是一种基于自然进化原理的优化和搜索方法，已经在宏观领域确立了自己的地位，作为一种通过探索人类设计师所能感知的范围之外来促进创新的技术。主要研究者目前的研究组合和网络也专注于基于EC的宏观设计优化。这个项目将为他提供一个极好的机会，将他的进化计算研究和网络扩展到微/纳米设计的新领域。它旨在发展一个多学科的研究社区，涉及进化计算，设计优化和微/纳米设计。该社区将合作开发一个新的研究主题，重点是开发一种新的计算能力，以快速和创新地优化微/纳米级设计。该项目将扩大EC研究的边界到微/纳米级设计优化的新领域。它旨在将EC社区内的宏观设计优化的大量知识和应用转移到微/纳米设计的新领域。通过这种方式，该项目的跨学科性质将有助于在进化计算，设计优化和微/纳米级设计领域之间建立新的合作。

项目成果

Handbook of Computational Intelligence in Manufacturing and Production Management

制造和生产管理中的计算智能手册

• 作者: R Roy (First Author)

Solving Real-life Multi-objective Optimisation Problems: A Mathematical Approach

解决现实生活中的多目标优化问题：数学方法

• 期刊: Creating Wealth Through Research and Innovation (CMC-2008)
• 作者: Sameh Askar (First Author)

Towards service-orientation-the state of service thoughts in the microfluidic domain

走向服务导向——微流控领域的服务思想现状

• DOI: 10.1007/s00170-011-3171-3
• 发表时间: 2011
• 期刊: The International Journal of Advanced Manufacturing Technology
• 作者: Panikowska K

Complexity in Engineering Design and Micro Devices: A Review of Literature

工程设计和微型器件的复杂性：文献综述

• 期刊: 6th International Conference on Manufacturing Research (ICMR-2008)
• 作者: K Panikowska (First Author)

Developing Microelectromechanical Systems (MEMS) (MSc Thesis Supervised by Professor Ashutosh Tiwari and Dr Jeffrey Alcock)

开发微机电系统 (MEMS)（硕士论文由 Ashutosh Tiwari 教授和 Jeffrey Alcock 博士指导）

• 作者: Jeevan Sagoo (Author)