Modeling Pheromone Dispensers Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Modeling Pheromone Dispensers Using Genetic
  author =       "Eva Alfaro-Cid and Anna I. Esparcia-Alc\'{a}zar and 
                 Pilar Moya and Beatriu Femenia-Ferrer and 
                 Ken Sharman and J. J. Merelo",
  booktitle =    "Applications of Evolutionary Computing, EvoWorkshops
                 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES,
                 EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM,
                 EvoSTOC, EvoTRANSLOG",
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni A. Di Caro and 
                 Anik{\'o} Ek{\'a}rt and Anna Esparcia-Alc{\'a}zar and Muddassar Farooq and 
                 Andreas Fink and Penousal Machado and Jon McCormack and 
                 Michael O'Neill and Ferrante Neri and Mike Preuss and 
                 Franz Rothlauf and Ernesto Tarantino and 
                 Shengxiang Yang",
  volume =       "5484",
  series =       "Lecture Notes in Computer Science",
  address =      "Tubingen, Germany",
  year =         "2009",
  pages =        "635--644",
  month =        apr # " 15-17",
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-01128-3",
  bibsource =    "DBLP,",
  DOI =          "doi:10.1007/978-3-642-01129-0_73",
  size =         "10 pages",
  abstract =     "Mating disruption is an agricultural technique that
                 intends to substitute the use of insecticides for pest
                 control. This technique consists of the diffusion of
                 large amounts of sexual pheromone, so that the males
                 are confused and mating is disrupted. Pheromones are
                 released using devices called dispensers. The speed of
                 release is, generally, a function of time and
                 atmospheric conditions such as temperature and
                 humidity. One of the objectives in the design of the
                 dispensers is to minimise the effect of atmospheric
                 conditions in the performance of the dispenser. With
                 this objective, the Centro de Ecologia Quimica Agricola
                 (CEQA) has designed an experimental dispenser that aims
                 to compete with the dispensers already in the market.
                 The hypothesis we want to validate (and which is based
                 on experimental results) is that the performance of the
                 CEQA dispenser is independent of the atmospheric
                 conditions, as opposed to the most widely used
                 commercial dispenser, Isomate CPlus. This was done
                 using a genetic programming (GP) algorithm. GP evolved
                 functions able to describe the performance of both
                 dispensers and that support the initial hypothesis.",
  notes =        "ECJ.

                 EvoWorkshops2009 held in conjunction with EuroGP2009,
                 EvoCOP2009, EvoBIO2009",

Genetic Programming entries for Eva Alfaro-Cid Anna Esparcia-Alcazar Pilar Moya Beatriu Femenia-Ferrer Kenneth C Sharman Juan Julian Merelo