Searching for resource-efficient programs: low-power pseudorandom number generators

White, D.R., Clark, J.A., Jacob, J. and Poulding, S.M. (2008) Searching for resource-efficient programs: low-power pseudorandom number generators. In: 10th Annual Conference on Genetic and Evolutionary Computation (GECCO 2008), Atlanta, GA, USA, 12-16 July 2008, (doi: 10.1145/1389095.1389437)

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Abstract

Non-functional properties of software, such as power consumption and memory usage, are important factors in designing software for resource-constrained platforms. This is an area where Search-Based Software Engineering has yet to be applied, and this paper investigates the potential of using Genetic Programming and Multi-Objective Optimisation as key tools in satisfying non-functional requirements. We outline the benefits of such an approach and give an example application of evolving pseudorandom number generators and performing power-functionality trade-offs.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:White, Dr David
Authors: White, D.R., Clark, J.A., Jacob, J., and Poulding, S.M.
College/School:College of Science and Engineering > School of Computing Science

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