A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Afsoon {Yousefi Zowj} and Josh C. Bongard and 
                 Christian Skalka",
  title =        "A Genetic Programming Approach to Cost-Sensitive
                 Control in Resource Constrained Sensor Systems",
  booktitle =    "GECCO '15: Proceedings of the 2015 Annual Conference
                 on Genetic and Evolutionary Computation",
  year =         "2015",
  editor =       "Sara Silva and Anna I Esparcia-Alcazar and 
                 Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and 
                 Christine Zarges and Luis Correia and Terence Soule and 
                 Mario Giacobini and Ryan Urbanowicz and 
                 Youhei Akimoto and Tobias Glasmachers and 
                 Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and 
                 Marta Soto and Carlos Cotta and Francisco B. Pereira and 
                 Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and 
                 Heike Trautmann and Jean-Baptiste Mouret and 
                 Sebastian Risi and Ernesto Costa and Oliver Schuetze and 
                 Krzysztof Krawiec and Alberto Moraglio and 
                 Julian F. Miller and Pawel Widera and Stefano Cagnoni and 
                 JJ Merelo and Emma Hart and Leonardo Trujillo and 
                 Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and 
                 Carola Doerr",
  isbn13 =       "978-1-4503-3472-3",
  pages =        "1295--1302",
  keywords =     "genetic algorithms, genetic programming, Real World
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739480.2754751",
  DOI =          "doi:10.1145/2739480.2754751",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Resource constrained sensor systems are an
                 increasingly attractive option in a variety of
                 environmental monitoring domains, due to continued
                 improvements in sensor technology. However, sensors for
                 the same measurement application can differ in terms of
                 cost and accuracy, while fluctuations in environmental
                 conditions can impact both application requirements and
                 available energy. This raises the problem of
                 automatically controlling heterogeneous sensor suites
                 in resource constrained sensor system applications, in
                 a manner that balances cost and accuracy of available
                 sensors. We present a method that employs a hierarchy
                 of model ensembles trained by genetic programming (GP):
                 if model ensembles that poll low-cost sensors exhibit
                 too much prediction uncertainty, they automatically
                 transfer the burden of prediction to other GP-trained
                 model ensembles that poll more expensive and accurate
                 sensors. We show that, for increasingly challenging
                 datasets, this hierarchical approach makes predictions
                 with equivalent accuracy yet lower cost than a similar
                 yet non-hierarchical method in which a single
                 GP-generated model determines which sensors to poll at
                 any given time. Our results thus show that a hierarchy
                 of GP-trained ensembles can serve as a control
                 algorithm for heterogeneous sensor suites in resource
                 constrained sensor system applications that balances
                 cost and accuracy.",
  notes =        "Also known as \cite{2754751} GECCO-2015 A joint
                 meeting of the twenty fourth international conference
                 on genetic algorithms (ICGA-2015) and the twentith
                 annual genetic programming conference (GP-2015)",

Genetic Programming entries for Afsoon Yousefi Zowj Josh C Bongard Christian Skalka