Evolving Fitness Functions for Mating Selection

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

  author =       "Penousal Machado and Ant\'{o}nio Leit\~{a}o",
  title =        "Evolving Fitness Functions for Mating Selection",
  booktitle =    "Proceedings of the 14th European Conference on Genetic
                 Programming, EuroGP 2011",
  year =         "2011",
  month =        "27-29 " # apr,
  editor =       "Sara Silva and James A. Foster and Miguel Nicolau and 
                 Mario Giacobini and Penousal Machado",
  series =       "LNCS",
  volume =       "6621",
  publisher =    "Springer Verlag",
  address =      "Turin, Italy",
  pages =        "227--238",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-642-20407-4_20",
  abstract =     "The tailoring of an evolutionary algorithm to a
                 specific problem is typically a time-consuming and
                 complex process. Over the years, several approaches
                 have been proposed for the automatic adaptation of
                 parameters and components of evolutionary algorithms.
                 We focus on the evolution of mating selection fitness
                 functions and use as case study the Circle Packing in
                 Squares problem. Each individual encodes a potential
                 solution for the circle packing problem and a fitness
                 function, which is used to assess the suitability of
                 its potential mating partners. The experimental results
                 show that by evolving mating selection functions it is
                 possible to surpass the results attained with hardcoded
                 fitness functions. Moreover, they also indicate that
                 genetic programming was able to discover mating
                 selection functions that: use the information regarding
                 potential mates in novel and unforeseen ways;
                 outperform the class of mating functions considered by
                 the authors.",
  notes =        "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
                 conjunction with EvoCOP2011 EvoBIO2011 and

Genetic Programming entries for Penousal Machado Antonio Leitao