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

  • Authors:
  • David R. White;John Clark;Jeremy Jacob;Simon M. Poulding

  • Affiliations:
  • University of York, York, United Kngdm;University of York, York, United Kngdm;University of York, York, United Kngdm;University of York, York, United Kngdm

  • Venue:
  • Proceedings of the 10th annual conference on Genetic and evolutionary computation
  • Year:
  • 2008

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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.