TY - GEN
T1 - The TransRAR crossover operator for genetic algorithms with set encoding
AU - Ruiz-Torrubiano, Rubén
AU - Suárez, Alberto
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2011/7/12
Y1 - 2011/7/12
N2 - This work introduces a new crossover operator specially designed to be used in genetic algorithms (GAs) that encode candidate solutions as sets of fixed cardinality. The Transmitting Random Assortment Recombination (TransRAR) operator proceeds by taking elements from a multiset, which is built by the union of the parent chromosomes, allowing repeated elements. If an element that is present in both parents is drawn, it is accepted with probability 1. Elements that belong to only one of the parents are accepted with a probability p, smaller than 1. The performance of this novel crossover operator is assessed in synthetic and real-world problems. In these problems, GAs that employ this type of crossover outperform those that use alternative operators for sets, such as Random Assortment Recombination (RAR), Random Respectful Recombination (R
3) or Random Transmitting Recombination (RTR). Furthermore, TransRAR can be implemented very efficiently and is faster than RAR, its closest competitor in terms of overall performance.
AB - This work introduces a new crossover operator specially designed to be used in genetic algorithms (GAs) that encode candidate solutions as sets of fixed cardinality. The Transmitting Random Assortment Recombination (TransRAR) operator proceeds by taking elements from a multiset, which is built by the union of the parent chromosomes, allowing repeated elements. If an element that is present in both parents is drawn, it is accepted with probability 1. Elements that belong to only one of the parents are accepted with a probability p, smaller than 1. The performance of this novel crossover operator is assessed in synthetic and real-world problems. In these problems, GAs that employ this type of crossover outperform those that use alternative operators for sets, such as Random Assortment Recombination (RAR), Random Respectful Recombination (R
3) or Random Transmitting Recombination (RTR). Furthermore, TransRAR can be implemented very efficiently and is faster than RAR, its closest competitor in terms of overall performance.
KW - Crossover operators
KW - Forma theory
KW - Genetic algorithms
UR - http://www.scopus.com/inward/record.url?scp=84860396761&partnerID=8YFLogxK
U2 - 10.1145/2001576.2001644
DO - 10.1145/2001576.2001644
M3 - Conference contribution
SN - 9781450305570
T3 - Genetic and Evolutionary Computation Conference, GECCO'11
SP - 489
EP - 496
BT - Genetic and Evolutionary Computation Conference, GECCO'11
A2 - Krasnogor, Natalio
A2 - Lanzi, Pier Luca
PB - ACM
ER -
