Optimising Energy Consumption Heuristically on Android Mobile Phones

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Mahmoud Bokhari and Markus Wagner",
  title =        "Optimising Energy Consumption Heuristically on
                 {Android} Mobile Phones",
  booktitle =    "Genetic Improvement 2016 Workshop",
  year =         "2016",
  editor =       "Justyna Petke and David R. White and Westley Weimer",
  pages =        "1139--1140",
  address =      "Denver",
  publisher_address = "New York, NY, USA",
  month =        jul # " 20-24",
  organisation = "SIGEvo",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Improvement, SBSE, Embedded systems, Computing
                 methodologies, Heuristic function construction,
                 Randomized search, Power Consumption Modelling, Energy
  URL =          "http://cs.adelaide.edu.au/~markus/pub/2016-gecco-gi-energy.pdf",
  URL =          "http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Optimising_Energy_Consumption_Heuristically_on_Android_Mobile_Phones.pdf",
  DOI =          "doi:10.1145/2908961.2931691",
  size =         "2 pages",
  abstract =     "In this paper we outline our proposed framework for
                 optimising energy consumption on Android mobile phones.
                 To model the power usage, we use an event-based
                 modelling technique. The internal battery fuel gauge
                 chip is used to measure the amount of energy being
                 consumed and accordingly the model is built on. We use
                 the model to estimate components' energy usages. In
                 addition, we propose the use of evolutionary
                 computations to prolong the battery life. This can be
                 achieved by using the power consumption model as a
                 fitness function, re-configuring the smartphone's
                 default settings and modifying existing code of
  notes =        "GECCO 2016 Workshop

Genetic Programming entries for Mahmoud A Bokhari Markus Wagner