Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@Article{Comellas:1998:GPD,
author = "F. Comellas and G. Gim{\'e}nez",
title = "Genetic Programming to Design Communication Algorithms
for Parallel Architectures",
journal = "Parallel Processing Letters",
year = "1998",
volume = "8",
number = "4",
pages = "549--560",
keywords = "genetic algorithms, genetic programming, broadcasting,
networks, butterfly graph",
ISSN = "0129-6264",
URL = "
http://www-mat.upc.es/~comellas/genprog/genprog_f.pdf",
URL = "
http://citeseer.ist.psu.edu/cache/papers/cs/173/http:zSzzSzwww-mat.upc.eszSz~comellaszSzgenprogzSzgenprog_f.pdf/comellas98genetic.pdf",
URL = "
http://citeseer.ist.psu.edu/comellas98genetic.html",
doi = "
doi:10.1142/S0129626498000547",
size = "12 pages",
abstract = "Broadcasting is an information dissemination problem
in which a message originating at one node of a
communication network (modeled as a graph) is to be
sent to all other nodes as quickly as possible. This
paper describes a new way of producing broadcasting
schemes using genetic programming. This technique has
proven successful by easily finding optimal algorithms
for several well-known families of networks (grids,
hypercubes and cycle connected cubes) and has indeed
generated a new scheme for butterflies that improves
the known upper bound for the broadcasting time of
these networks.",
notes = "GPQUICK. Tried on 4 problems (5x5 directed grid,
torroidal, hypercube, cube connected cycles) finds
known optima.
{"}5.5 Butterfly graph For these graphs no optimal
broadcasting algorithm is known... we improve the upper
bound to BF_k \le 2k-2{"} for k=7,8...16",
CODEN = "PPLTEE",
ISSN = "0129-6264",
URL = "
http://www-mat.upc.es/~comellas/genprog/genprog.html",
acknowledgement = ack-nhfb,
bibdate = "Mon Nov 09 07:22:43 1998",
}
Genetic Programming entries for Francesc Comellas G Gim\'enez