Synthesis of odor tracking algorithms with genetic programming

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

  author =       "B. Lorena Villarreal and Gustavo Olague and 
                 J. L. Gordillo",
  title =        "Synthesis of odor tracking algorithms with genetic
  journal =      "Neurocomputing",
  volume =       "175, Part B",
  pages =        "1019--1032",
  year =         "2016",
  ISSN =         "0925-2312",
  DOI =          "doi:10.1016/j.neucom.2015.09.108",
  URL =          "",
  abstract =     "At the moment, smell sensors for odour source
                 localization in mobile robotics represent a topic of
                 interest for researchers around the world. In
                 particular, we introduce in this paper the idea of
                 developing biologically inspired sniffing robots in
                 combination with bioinspired techniques such as
                 evolutionary computing. The aim is to approach the
                 problem of creating an artificial nose that can be
                 incorporated into a real working system, while
                 considering the environmental model and odour
                 behaviour, the perception system, and algorithm for
                 tracking the odour plume. Current algorithms try to
                 emulate animal behaviour in an attempt to replicate
                 their capability to follow odours. Nevertheless, odour
                 perception systems are still in their infancy and far
                 from their biological counterpart. This paper presents
                 a proposal in which a real-working artificial nose is
                 tested as a perception system within a mobile robot.
                 Genetic programming is used as the learning technique
                 platform to develop odour source localization
                 algorithms. Experiments in simulation and with an
                 actual working robot are presented and the results
                 compared with two algorithms. The quality of results
                 demonstrates that genetic programming is able to
                 recreate chemotaxis behaviour by considering
                 mathematical models for odour propagation and
                 perception system.",
  keywords =     "genetic algorithms, genetic programming, Odour
                 tracking algorithm, Bio-inspired nose, Chemical
                 sensors, Sniffing robot",
  notes =        "Center for Robotics and Intelligent Systems,
                 Tecnologico de Monterrey, Monterrey, N.L., Mexico",

Genetic Programming entries for Blanca Lorena Villarreal Gustavo Olague Jose Luis Gordillo