Designing Pheromone Update Strategies with Strongly Typed Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jorge Tavares and Francisco B. Pereira",
  title =        "Designing Pheromone Update Strategies with Strongly
                 Typed Genetic Programming",
  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 =        "85--96",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-20406-7",
  DOI =          "doi:10.1007/978-3-642-20407-4_8",
  abstract =     "Ant Colony algorithms are population-based methods
                 widely used in combinatorial optimisation problems. We
                 propose a strongly typed genetic programming approach
                 to automatically evolve the communication mechanism
                 that allows ants to cooperatively solve a given
                 problem. Results obtained with several TSP instances
                 show that the evolved pheromone update strategies are
                 effective, exhibit a good generalisation capability and
                 are competitive with human designed variants.",
  notes =        "cf hyper heuristics.

                 51 city travelling salesman problem.

                 Part of \cite{Silva:2011:GP} EuroGP'2011 held in
                 conjunction with EvoCOP2011 EvoBIO2011 and

Genetic Programming entries for Jorge Tavares Francisco Jose Baptista Pereira