Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{cleary:2005:AAGDFR0MKP,
author = "Robert Cleary and Michael O'Neill",
title = "An Attribute Grammar Decoder for the 01
MultiConstrained Knapsack Problem",
booktitle = "Evolutionary Computation in Combinatorial Optimization
-- {EvoCOP}~2005",
year = "2005",
month = "30 " # mar # "-1 " # apr,
editor = "G{\"{u}}nther R. Raidl and Jens Gottlieb",
series = "LNCS",
volume = "3448",
publisher = "Springer Verlag",
address = "Lausanne, Switzerland",
publisher_address = "Berlin",
pages = "34--45",
keywords = "genetic algorithms, genetic programming, grammatical
evolution, evolutionary computation, attribute
grammar",
ISSN = "0302-9743",
abstract = "We describe how the standard genotype-phenotype
mapping process of Grammatical Evolution (GE) can be
enhanced with an attribute grammar to allow GE to
operate as a decoder-based Evolutionary Algorithm (EA).
Use of an attribute grammar allows GE to maintain
context-sensitive and semantic information pertinent to
the capacity constraints of the 01 Multi-constrained
Knapsack Problem (MKP). An attribute grammar
specification is used to perform decoding similar to a
first-fit heuristic. The results presented are
encouraging, demonstrating that GE in conjunction with
attribute grammars can provide an improvement over the
standard context-free mapping process for problems in
this domain.",
notes = "EvoCOP2005 Also known as \cite{cleary:evocop05}",
}
Genetic Programming entries for Robert Cleary Michael O'Neill