Android genetic programming framework

  • Authors:
  • Alban Cotillon;Philip Valencia;Raja Jurdak

  • Affiliations:
  • Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia;Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia;Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia

  • Venue:
  • EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Personalisation in smart phones requires adaptability to dynamic context based on application usage and sensor inputs. Current personalisation approaches do not provide sufficient adaptability to dynamic and unexpected context. This paper introduces the Android Genetic Programming Framework (AGP) as a personalisation method for smart phones. AGP considers the specific design challenges of smart phones, such as resource limitation and constrained programming environments. We demonstrate AGP's utility through empirical experiments on two applications: a news reader application and an energy efficient localisation application. Results show that AGP successfully adapts application behaviour to user context.