Research Output per year
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.
Fingerprint Dive into the research topics where David Corne is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Evolutionary algorithms
Engineering & Materials Science
Multiobjective optimization
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Feature extraction
Engineering & Materials Science
Genetic algorithms
Engineering & Materials Science
Orthotics
Engineering & Materials Science
Physical therapy
Engineering & Materials Science
Genes
Engineering & Materials Science
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 journal › Article
Open Access
File
system optimization
Multiobjective optimization
protected area
conservation areas
methodology
Infeasibility and structural bias in Differential Evolution
Caraffini, F., Kononova, A. V. & Corne, D., 11 May 2019, In : Information Sciences. 496, p. 161-179 19 p.Research output: Contribution to journal › Article
Infeasibility
Differential Evolution
Constraint Handling
Bins
Design of Algorithms
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 proceeding › Conference 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 proceeding › Conference 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.). SpringerResearch output: Chapter in Book/Report/Conference proceeding › Chapter
Evolutionary algorithms
Genetic programming
Genetic algorithms
Costs
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