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A proposed new paradigm
Over the last number of years I have also been undertaking some theoretical research into a new approach to programming: Semiotic Programming.
For more information about this independent research project please visit
Evolutionary Algorithms for Optimisation
Ph.D. in Artificial Intelligence
Before getting into the world of commercial computing I wrote a Ph.D. in Aritificial Intelligence and Computer Science at the University of Sussex. The research looked at how and when evolutionary techniques of random variation and selection could be used effectively to solve certain kinds of optimisation problems.
The thesis is available online from the British Library's e-theses service:
Sharpe, O. (1998). Beyond NFL. In Koza, J. R. (Ed.), Genetic Programming 1998: Proceedings of the Third Annual Conference of Genetic Programming.
Sharpe, O. (1998). Concerns with fitness distance correlations., Genetic Programming 1998: Proceedings of the Third Annual Conference of Genetic Programming.
Sharpe, O. (1999a). Continuing beyond NFL: Dissecting real world problems. In GECCO99: Proceedings of the Genetic and Evolutionary Computation Conference.
Sharpe, O. (1999b). Evolution at the origins of life: Modelling simple persistent replicating objects. In European Conference of Artificial Life.
Sharpe, O. (1999c). Persistence, search and autopoiesis. In GECCO99: Proceedings of the Genetic and Evolutionary Computation Conference.
Sharpe, O. (2000a). Introducing a new persistence measure. In Parallel Problem Solving from Nature PPSN VI.
Sharpe, O. (2000b). Introducing performance landscapes and a generic framework for evolution ary. In Congress on Evolutionary Computation.
Sharpe, O. (2000c). Observing the movement of GAs on neutral networks. In Congress on Evolutionary Computation.
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