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Personal profile

Research interests

Please see my web page https://www.macs.hw.ac.uk/~dwcorne/ -- it will generally be more up to date than this. And, of course, as a computer scientist, my  google scholar profile  will capture much more of relevance than the 'Scopus' profile.

I research into optimisation, machine learning and data mining. I also work extensively with businesses in exploiting my research (from advising start-ups through to major industry-supported projects). In straightforward terms, I design algorithms that quickly find solutions to difficult problems in design, logistics, telecoms, bioinformatics, and many other areas. I also work with prediction and forecasting methods that learn from and exploit data.(e.g. automated financial trading, predicting diseases from genetic data, and so on.). Technically, my main focus is on understanding how appropriately to design and/or configure algorithms for any given space of problem instances or datasets. I am particularly interested and specialist in multi-objective optimisation, evolutionary computation, methods that hybridise learning and optimization, and ‘super-heuristics’ – automatically discovering fast algorithms for a given space of problems.

Biography

My research career started with 6 years as a research associate in the Dept of Artificial Intelligence, University of Edinburgh (1990—1996). Initially I was working on an AI in Design project, and then moved on to evolutionary computation for logistics; this was the project that led directly to the current highly successful and commonly used ‘hyper-heuristics’ techniques. I entered the academic ladder with a lectureship at Reading in 1997, and there developed interests and high-impact contributions in multi-objective optimization, bioinformatics, telecommunications and web science, and at the same time began to work with industry (BT, and several SMEs); I became Reader in 2002, took up a Chair in Computer Science at Exeter in 2003 (where I also developed links with Motorola and BAE Systems), and moved to Heriot-Watt at the end of 2007, where I continue to combine fundamental research with knowledge exchange at various levels.

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Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2004 2019

An efficient multi-objective optimization method for use in the design of marine protected area networks

Fox, A. D., Corne, D. W., Mayorga Adame, C. G., Polton, J. A., Henry, L-A. & Roberts, J. M., 5 Feb 2019, In : Frontiers in Marine Science. 6, 17

Research output: Contribution to journalArticle

Open Access
File
system optimization
Multiobjective optimization
protected area
conservation areas
methodology

A novel nonlinear discriminant classifier trained by an evolutionary algorithm

Ursani, Z. & Corne, D. W., 26 Feb 2018, Proceedingsof 2018 10th International Conference on Machine Learning and Computing, ICMLC 2018. ACM, p. 336-340 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary algorithms
Classifiers
Statistical Models

Application of mass balancing theorem to multi-commodity flow network with multi-separators

Ursani, Z. & Corne, D. W., 11 Jan 2018, 2017 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, p. 1338-1343 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Flow Network
Multicommodity Flow
Separator
Separators
Balancing

Evolutionary Algorithms

Corne, D. & Lones, M. A., 22 Feb 2018, Handbook of Heuristics. Martí, R., Panos, P. & Resende, M. (eds.). Springer

Research output: Chapter in Book/Report/Conference proceedingChapter

Evolutionary algorithms
Genetic programming
Genetic algorithms
Costs

Forecasting the flow of urban pollution with cellular automata

Benjavanich, S., Ursani, Z. & Corne, D., 14 Jun 2018, 5th IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT). IEEE, 8379801

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cellular automata
Pollution
Health hazards
Sensor arrays
Evolutionary algorithms

Prizes

Rushlight Resource Innovation Award

Edward Hugh Owens (Recipient), David Flynn (Recipient), David Corne (Recipient), Andrew Peacock (Recipient) & Valentin Robu (Recipient), 24 Jan 2018

Prize: Prize (including medals and awards)

Resources
Innovation
Technology innovation
Ireland
Energy

Rushlight Water Management Award

Edward Hugh Owens (Recipient), David Corne (Recipient), David Flynn (Recipient), Valentin Robu (Recipient) & Andrew Peacock (Recipient), 30 Jan 2018

Prize: Prize (including medals and awards)

Water management
Innovation
Project management
Irrigation
Power control