Optimization for robust design: Integrating model-based systems engineering with multi-criteria decision-making support in a distributed framework
Lead Research Organisation:
University of Sheffield
Department Name: Automatic Control and Systems Eng
Abstract
Complex manufactured products, such as automotive vehicles, involve the design and integration of a large number of engineered components that interact to produce the overall qualities of the product. For example, the overall CO2 emissions from a vehicle depend on the design of the engine, transmission and exhaust systems, all working together. Usually different teams of designers work on the different parts of the vehicle, separated potentially by different physical locations, different design timescales, and the expertise and language of different scientific disciplines. These differences sometimes mean that costly re-work is required to successfully resolve incompatible or undesirable choices made for particular parts of the design. This project aims to develop methods that support these design teams in developing high quality designs for the overall advanced product (e.g. the full vehicle), and in choosing designs that will actually perform well in practice - once they have been manufactured and delivered to customers. The methods will be piloted using two case studies of vehicle design for Jaguar Land Rover and the software that is developed during the project will be made available as open-source, for everyone to use.
The research will build on existing knowledge in three related academic disciplines: multi-objective optimization (which uses search methods to identify and reveal to designers the trade-offs between different aspects of product performance), multiple criteria decision-making (which helps designers to choose a single preferred design from amongst the trade-off options) and multidisciplinary optimization (which helps organize and integrate the search for good solutions between different design teams). The work will also use results from, and develop further, an on-going related research project that aims to understand the relationships between the different parts of a complex manufactured product and to identify computer models that can be used to inform the search for good solutions.
The search for good designs that perform well in practice is known as "robust optimization". The research will develop methods for robust optimization at the level of a design "node" - that is, at the level of an individual component or sub-system within the overall product. The methods will make efficient use of the computing resources available for searching for good designs and will optimize multiple aspects of product performance simultaneously. Any patterns in the relationship between different design choices and different possible performance trade-offs will be identified from the data generated during the search and presented to the designer to help with choosing a single preferred design.
The research will capture the impact of alternative design choices at one node on design activities at other nodes. The research then aims to use this information to steer robust optimization at different nodes, simultaneously, towards a favourable design for the overall product. Protocols will be developed, using methods from the academic discipline of systems engineering, that can highlight to design teams when decisions being taken elsewhere in the overall product design process are impacting on particular product requirements or resolving trade-offs unfavourably for aspects of performance relevant to the team.
Successful delivery of the research objectives will represent a step-change in the ability of optimization and decision support tools to support the design teams working within the complex arrangement of engineering design processes that are a crucial feature of modern advanced manufactured products. Successful testing of the methods on real automotive design problems of strategic interest to Jaguar Land Rover will help to demonstrate the value of these methods to advanced manufacturing more generally in the UK, across a wide range of sectors.
The research will build on existing knowledge in three related academic disciplines: multi-objective optimization (which uses search methods to identify and reveal to designers the trade-offs between different aspects of product performance), multiple criteria decision-making (which helps designers to choose a single preferred design from amongst the trade-off options) and multidisciplinary optimization (which helps organize and integrate the search for good solutions between different design teams). The work will also use results from, and develop further, an on-going related research project that aims to understand the relationships between the different parts of a complex manufactured product and to identify computer models that can be used to inform the search for good solutions.
The search for good designs that perform well in practice is known as "robust optimization". The research will develop methods for robust optimization at the level of a design "node" - that is, at the level of an individual component or sub-system within the overall product. The methods will make efficient use of the computing resources available for searching for good designs and will optimize multiple aspects of product performance simultaneously. Any patterns in the relationship between different design choices and different possible performance trade-offs will be identified from the data generated during the search and presented to the designer to help with choosing a single preferred design.
The research will capture the impact of alternative design choices at one node on design activities at other nodes. The research then aims to use this information to steer robust optimization at different nodes, simultaneously, towards a favourable design for the overall product. Protocols will be developed, using methods from the academic discipline of systems engineering, that can highlight to design teams when decisions being taken elsewhere in the overall product design process are impacting on particular product requirements or resolving trade-offs unfavourably for aspects of performance relevant to the team.
Successful delivery of the research objectives will represent a step-change in the ability of optimization and decision support tools to support the design teams working within the complex arrangement of engineering design processes that are a crucial feature of modern advanced manufactured products. Successful testing of the methods on real automotive design problems of strategic interest to Jaguar Land Rover will help to demonstrate the value of these methods to advanced manufacturing more generally in the UK, across a wide range of sectors.
Planned Impact
Manufacturing in the UK forms an important component of the economy and directly employs 2.5 million people. High value manufacturing has the potential to yield important economic benefits. Robust design through simulation has been identified as an important enabler to help UK industry deliver "right first time" products to the market faster, thereby securing an important competitive advantage and economic impact.
While the planned research programme has a distinct focus on the automotive sector, the outcome of this research has the potential to benefit a wide range of manufacturing sectors. Immediate beneficiaries will be the automotive sector through the development of methods, tools and processes to enable the generation of robust designs. However, the research outputs will be sufficiently generic to benefit sectors as wide-ranging as aerospace, renewable energy, healthcare devices and consumer goods. Pathways are in place to engage with these sectors.
The resulting economic impact will contribute towards wealth creation through the strengthening of manufacturing companies and their supply chains, improving the efficiency and sustainability of businesses and creating new employment opportunities in high-skill industries.
The two Case Studies in the planned programme are strongly focused on environmental considerations and will demonstrate how, through robust design and intelligent use of simulation, environmental impacts can be realised. Our two studies will target emissions reduction and reduced energy usage with attendant benefits for customers and society at large. In turn, this can galvanise budding engineers and further stimulate an appreciation of the benefits of smart engineering design. These examples will be used to inspire current students by incorporation into our teaching programmes and to enthuse prospective students through outreach programmes. By engagement in related projects, current students will also be given opportunities to gain first-hand experience of industrial challenges and their ability to excite.
In summary, this research programme has the potential to generate wide-ranging economic impact in manufacturing industries while yielding significant environmental and societal benefits through application of its results.
While the planned research programme has a distinct focus on the automotive sector, the outcome of this research has the potential to benefit a wide range of manufacturing sectors. Immediate beneficiaries will be the automotive sector through the development of methods, tools and processes to enable the generation of robust designs. However, the research outputs will be sufficiently generic to benefit sectors as wide-ranging as aerospace, renewable energy, healthcare devices and consumer goods. Pathways are in place to engage with these sectors.
The resulting economic impact will contribute towards wealth creation through the strengthening of manufacturing companies and their supply chains, improving the efficiency and sustainability of businesses and creating new employment opportunities in high-skill industries.
The two Case Studies in the planned programme are strongly focused on environmental considerations and will demonstrate how, through robust design and intelligent use of simulation, environmental impacts can be realised. Our two studies will target emissions reduction and reduced energy usage with attendant benefits for customers and society at large. In turn, this can galvanise budding engineers and further stimulate an appreciation of the benefits of smart engineering design. These examples will be used to inspire current students by incorporation into our teaching programmes and to enthuse prospective students through outreach programmes. By engagement in related projects, current students will also be given opportunities to gain first-hand experience of industrial challenges and their ability to excite.
In summary, this research programme has the potential to generate wide-ranging economic impact in manufacturing industries while yielding significant environmental and societal benefits through application of its results.
Organisations
- University of Sheffield (Lead Research Organisation)
- Tata Motors (United Kingdom) (Co-funder)
- Leiden University (Collaboration)
- University of Manchester (Collaboration)
- The National Institute for Research in Computer Science and Control (INRIA) (Collaboration)
- Newcastle University (Collaboration)
- Greater Manchester Combined Authority (Collaboration)
- SHEFFIELD CITY COUNCIL (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- University of Cologne (Collaboration)
- Michigan State University (Collaboration)
- Government of Scotland (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- Shop Direct (Collaboration)
Publications
Shenfield A
(2014)
Multi-objective evolutionary design of robust controllers on the grid
in Engineering Applications of Artificial Intelligence
Wang R
(2014)
General framework for localised multi-objective evolutionary algorithms
in Information Sciences
Giagkiozis I
(2014)
Pareto front estimation for decision making.
in Evolutionary computation
Salomon S
(2014)
Active robust optimization: enhancing robustness to uncertain environments.
in IEEE transactions on cybernetics
Giagkiozis I
(2014)
Generalized decomposition and cross entropy methods for many-objective optimization
in Information Sciences
De Freitas A
(2015)
Aggregation Trees for visualization and dimension reduction in many-objective optimization
in Information Sciences
Giagkiozis I
(2015)
Methods for multi-objective optimization: An analysis
in Information Sciences
Salomon S
(2015)
Gearbox design for uncertain load requirements using active robust optimization
in Engineering Optimization
Description | Most significant achievements 1. Development of a design optimization environment capable of producing robust designs at a variety of levels, ranging from enterprise level through to component level. A design optimization environment typically uses computer-based models to predict design performance before the actual design is built. The design optimization environment is thus used to assist the designer to select the best design that satisfies a number of design criteria. However, precise models of performance are often impossible to obtain. If the "best" design relies entirely on exact models, then there is a very real risk that this design will be highly sensitive to the underlying model assumptions and, therefore, inadvertently, lead to a less than good design. A robust design is one which takes account of uncertainties that exist in the models and other factors in the design optimization; it provides the designer with probabilistic measures of the design results (e.g. % confidence in the result). The overall aim is to assist the designer in selecting the best design with a high degree of confidence, thereby saving time and costs in realising the desired component, product or system. 2. Development of a framework that enables a network of decision support and optimization nodes to operate asynchronously. Complex industrial designs often involve a number of teams working separately and possibly over different periods of time on different parts of the design. This framework recognises this mode of working and enables teams to perform their separate subsystem optimizations while enabling sharing of design progress information between the teams to lead to faster and better integrated designs. 3. Demonstration of these capabilities in two pilot case studies, identified by Jaguar Land Rover as being of key strategic importance. These case studies are subject to commercial confidentiality constraints. The results are being taken forward by the participating Jaguar Land Rover teams. 4. Development of an open source software package, Liger, that implements the framework and some of the methods. Provision of this open-source package enables the design optimization framework to be used in a variety of different sectors. |
Exploitation Route | The findings are being taken forward under the leadership of Co-I, Dr Robin Purshouse (University of Sheffield) and industry project leader, Jacqui Morison (JLR). Widespread adoption of the methods by a variety of sectors is being promoted through the provision of an open-source software package, Liger, that implements the framework and some of the methods. |
Sectors | Aerospace Defence and Marine Agriculture Food and Drink Chemicals Communities and Social Services/Policy Construction Energy Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology Retail Transport |
URL | https://github.com/ligerdev/liger |
Description | Conducted two case studies with Jaguar Land Rover that revealed new insights for the company. The company agreed (2018) to conduct trials of the new methodology. Other industries are now expressing an interest in using the tools we have developed and one is already using them. Inevitably, the consequences of the pandemic (2020 -2022) coupled with organizational changes in companies that we are working with have disrupted progress. Nonetheless, we are pleased to report that our tools were used in the DYNAMO Innovate UK study to support the design of the next-generation of internal combustion engines in Ford. Also, the core support software, Liger, is now at version 2.0 open-source release. |
First Year Of Impact | 2016 |
Sector | Aerospace, Defence and Marine,Manufacturing, including Industrial Biotechology,Retail,Transport |
Impact Types | Economic |
Description | Institute for Digital Engineering Digitalisation Roadmap |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
Description | DETC Lite |
Amount | £60,000 (GBP) |
Funding ID | J14921 |
Organisation | Digital Engineering and Test Centre |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2018 |
End | 10/2018 |
Description | DYNamic Analysis Modelling and Optimisation of GDI Engines (DYNAMO) |
Amount | £8,000,000 (GBP) |
Funding ID | APC6 113130 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 03/2017 |
End | 03/2020 |
Description | EPSRC Summer Vacation Bursary Programme |
Amount | £2,400 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2016 |
End | 08/2016 |
Description | Future Manufacturing Hub |
Amount | £10,315,413 (GBP) |
Funding ID | EP/P006566/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2016 |
End | 09/2023 |
Description | Many-objective Optimization Pilot Project |
Amount | £65,000 (GBP) |
Organisation | Unilever |
Sector | Private |
Country | United Kingdom |
Start | 09/2018 |
End | 03/2019 |
Description | System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium) |
Amount | £4,980,462 (GBP) |
Funding ID | MR/S037578/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2019 |
End | 07/2020 |
Description | 2019 Lorentz Center workshop on many-objective optimization |
Organisation | Leiden University |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | Writing the proposal and preparing the workshop |
Collaborator Contribution | Writing the proposal and preparing the workshop |
Impact | Proposal document |
Start Year | 2017 |
Description | 2019 Lorentz Center workshop on many-objective optimization |
Organisation | The National Institute for Research in Computer Science and Control (INRIA) |
Country | France |
Sector | Public |
PI Contribution | Writing the proposal and preparing the workshop |
Collaborator Contribution | Writing the proposal and preparing the workshop |
Impact | Proposal document |
Start Year | 2017 |
Description | 2019 Lorentz Center workshop on many-objective optimization |
Organisation | University of Cologne |
Country | Germany |
Sector | Academic/University |
PI Contribution | Writing the proposal and preparing the workshop |
Collaborator Contribution | Writing the proposal and preparing the workshop |
Impact | Proposal document |
Start Year | 2017 |
Description | EMO 2019 Conference |
Organisation | Michigan State University |
Country | United States |
Sector | Academic/University |
PI Contribution | Marketing Chair; Posters Competition Panel Member |
Collaborator Contribution | Organising the EMO 2019 conference, East Lansing, USA |
Impact | Conference is being held 10-13 March 2019 |
Start Year | 2018 |
Description | Real-World Applications Track Chair at GECCO 2019 |
Organisation | Leiden University |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | Co-chairing the prestigious real-world applications track at GECCO 2019 |
Collaborator Contribution | Co-chairing the prestigious real-world applications track at GECCO 2019 |
Impact | None yet |
Start Year | 2018 |
Description | SIPHER Consortium |
Organisation | Government of Scotland |
Country | United Kingdom |
Sector | Public |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | Greater Manchester Combined Authority |
Country | United Kingdom |
Sector | Public |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | Newcastle University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | Sheffield City Council |
Country | United Kingdom |
Sector | Public |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | University of Edinburgh |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | University of Leeds |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | SIPHER Consortium |
Organisation | University of Manchester |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Developing consortium proposal to UKPRP |
Collaborator Contribution | Developing consortium proposal to UKPRP |
Impact | Not yet disclosable |
Start Year | 2017 |
Description | Support to product pricing optimization project |
Organisation | Shop Direct |
Country | United Kingdom |
Sector | Private |
PI Contribution | We contributed free technical consultancy to an ESRC Consumer Data Research Centre masters research project being undertaken within Shop Direct. We also made available a community version of our Liger optimization workflow software and provided free technical support to the installation and use of this tool on the project. |
Collaborator Contribution | Shop Direct provided the research placement opportunity, including pricing models and data science expertise. |
Impact | Proof-of-concept pricing optimization results; Masters dissertation |
Start Year | 2017 |
Title | Liger |
Description | Open-source software for optimisation workflows Website includes source code, binaries and tutorials |
Type Of Technology | Software |
Year Produced | 2018 |
Impact | Use in new projects (e.g. DYNAMO). Use in prospective funding applications (e.g. SIPHER) Deployment phase commenced at Jaguar Land Rover; deployment in discussion at Ford Motor Company |
URL | https://github.com/ligerdev/liger |
Description | Dagstuhl Seminar 15031 - Understanding Complexity in Multiobjective Optimization, 11-16 January 2015 - RC Purshouse |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dagstuhl Seminar 15031 - Understanding Complexity in Multiobjective Optimization, 11-16 January 2015 Worked on new concepts with leading practitioners |
Year(s) Of Engagement Activity | 2015 |
URL | https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=15031 |
Description | Delivered Ford optimization workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Delivered a workshop to engineers across Ford Motor Company's business on optimization technologies. Approximately 60 design engineers and technical specialists attended the workshop. |
Year(s) Of Engagement Activity | 2021 |
Description | Deployment Case Study planning |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Discussions with stakeholders in Jaguar Land Rover about deployment of capabilities developed on the project |
Year(s) Of Engagement Activity | 2018 |
Description | EURO 2018 Special Session on Many-Objective Optimization |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Organised and participated in special session at the EURO 2018 conference - audience was a diverse range of industry participants, students, academics. |
Year(s) Of Engagement Activity | 2018 |
Description | First Israeli Modelling Week |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Workshop Organiser and Presenter on Modelling for Optimization with lab sessions - João Duro |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.braude.ac.il/conferences/modelling_week_israel_2017/ |
Description | Full Day Live Simulation Demonstration |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Full Day Live Simulation Demonstration with JLR participants. The purpose of the Live Simulation was to undertake a trial (mid-project) of the emerging methodology for multi-node design. The Live Simulation attempted to simulate a typical design scenario where JLR participants exercised the new design methodology, which was intended to be sufficiently similar to the real scenario experienced at JLR. This enabled participants to experience the new methodology in action and advise researchers on its benefits and shortcomings, thereby influencing the future direction of research in the project. |
Year(s) Of Engagement Activity | 2016 |
Description | Invited seminar to Decision and Cognitive Science Group at the University of Manchester - RC Purshouse |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited seminar to Decision and Cognitive Science Group at the University of Manchester entitled "Towards asynchronous distributed optimization and decision support for complex engineered products" |
Year(s) Of Engagement Activity | 2016 |
URL | https://research.mbs.ac.uk/decision-science/Newsandevents.aspx |
Description | Liger presentation to AVL |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Promotion of Liger as an open-source framework for optimization, tailored for industrial users - by Yiming Yan |
Year(s) Of Engagement Activity | 2017 |
Description | Liger presentation to Ricardo |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Promotion of Liger as an open-source framework for optimization, tailored for industrial users by Yiming Yan |
Year(s) Of Engagement Activity | 2017 |
Description | Liger workshop with Rolls-Royce |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Workshop with large group of stakeholders at Rolls-Royce to present Liger workflow software and discuss implications/opportunities for their business |
Year(s) Of Engagement Activity | 2018 |
Description | Multi-objective optimization using evolutionary algorithms and Liger software |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Talk and demo at UK Optimisation Open Day at DETC |
Year(s) Of Engagement Activity | 2018 |
Description | Organiser for industrial workshop at 2018 Parallel Problem Solving from Nature (PPSN) conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Organisation of an industrial workshop |
Year(s) Of Engagement Activity | 2017 |
Description | Pareto-Edgeworth Award Talk - PJ Fleming |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Pareto-Edgeworth Award Talk on "MCDM from a MO perspective and an industry perspective" at 23rd International Conference on Multiple Criteria Decision Making MCDM 2015, Hamburg, August 2015 |
Year(s) Of Engagement Activity | 2015 |
Description | Participation in Dagstuhl Seminar 18031 - Personalized Multiobjective Optimization: An Analytics Perspective |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Participated in the invitation-only expert seminar. Gave a presentation on 'Modelling Complex Networks of Decision Makers: An Analytical Sociology perspective'. Engaged in the working group 'Complex Networks and Multi-Criteria Decision Analysis' |
Year(s) Of Engagement Activity | 2018 |
URL | http://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=18031 |
Description | Presentation at GECCO 2016 - J Fieldsend obo S Salomon |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation of a paper entitled "A toolkit for generating scalable stochastic multiobjective test problems" at the 2016 Genetic and Evolutionary Computation Conference. |
Year(s) Of Engagement Activity | 2016 |
URL | http://gecco-2016.sigevo.org/index.html/HomePage#&panel1-1 |
Description | Presentation at GECCO2015 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Conference Presentation - GECCO2015. Dissemination of research findings |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.sigevo.org/gecco-2015/ |
Description | Promotion of research at Jaguar Land Rover - repeating activity |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Generated much discussion and prospects of future involvement Follow-on meetings with a number of professional practitioners. Generation of Case Studies to enhance research understanding |
Year(s) Of Engagement Activity | 2014,2015,2016,2017 |
Description | Promotion of research at at EPSRC Manufacturing the Future conference 2014 - RC Purshouse |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Gave an informal progress update to EPSRC stakeholders Strong interest in the research and wish to be informed of progress |
Year(s) Of Engagement Activity | 2014 |
URL | http://www.ukmanufacturing.org/ |
Description | Research workshop with Unilever |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Participated in workshop with Unilever to develop research links |
Year(s) Of Engagement Activity | 2018 |
Description | SET for Britain Poster Competition, House of Commons, London - I Giagkiozis |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Participated SET for Britain Poster Competition, House of Commons, London and met with MPs, policymakers, etc |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.setforbritain.org.uk/2015event.asp |
Description | Seminar for Shop Direct Data Science group on multi-objective optimization using evolutionary algorithms |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Seminar to Shop Direct's Data Science group on practical multi-objective optimization using evolutionary algorithms. There is significant interest in using these methods to solve problems within the company. The talk stimulated informal debate and discussion within the Data Science team. |
Year(s) Of Engagement Activity | 2017 |
Description | Seminar to Data Science Group |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Seminar to Data Science Group, Shop Direct on how to use Seminar to ShopDirect on how to use Liger (an open-source framework for optimization, tailored for industrial users) - Robin Purshouse |
Year(s) Of Engagement Activity | 2017 |
Description | Seminar to ShopDirect on Liger |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Seminar to ShopDirect on how to use Liger (an open-source framework for optimization, tailored for industrial users) - Robin Purshouse |
Year(s) Of Engagement Activity | 2017 |