Evolving Strategies for Updating Pheromone Trails: A Case Study with the TSP

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Jorge Tavares and Francisco Baptista Pereira",
  title =        "Evolving Strategies for Updating Pheromone Trails: A
                 Case Study with the TSP",
  booktitle =    "PPSN 2010 11th International Conference on Parallel
                 Problem Solving From Nature",
  year =         "2010",
  editor =       "Robert Schaefer and Carlos Cotta and 
                 Joanna Kolodziej and Guenter Rudolph",
  publisher =    "Springer",
  pages =        "523--532",
  series =       "Lecture Notes in Computer Science",
  address =      "Krakow, Poland",
  month =        "11-15 " # sep,
  volume =       "6238",
  keywords =     "genetic algorithms, genetic programming, genetic
                 programming, ant colony optimisation",
  isbn13 =       "978-3-642-15870-4",
  DOI =          "doi:10.1007/978-3-642-15871-1_53",
  abstract =     "Ant Colony Optimization is a bio-inspired technique
                 that can be applied to solve hard optimisation
                 problems. A key issue is how to design the
                 communication mechanism between ants that allows them
                 to effectively solve a problem. We propose a novel
                 approach to this issue by evolving the current
                 pheromone trail update methods. Results obtained with
                 the TSP show that the evolved strategies perform well
                 and exhibit a good generalisation capability when
                 applied to larger instances.",
  affiliation =  "CISUC, Department of Informatics Engineering,
                 University of Coimbra, Polo II - Pinhal de Marrocos,
                 3030 Coimbra, Portugal",

Genetic Programming entries for Jorge Tavares Francisco Jose Baptista Pereira