- author = "Nuno Lourenco and Francisco Pereira and Ernesto Costa",
- title = "Evolving evolutionary algorithms",
- booktitle = "GECCO 2012 2nd Workshop on Evolutionary Computation for the Automated Design of Algorithms",
- year = "2012",
- editor = "Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan",
- isbn13 = "978-1-4503-1178-6",
- keywords = "genetic algorithms, genetic programming",
- pages = "51--58",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Philadelphia, Pennsylvania, USA",
-
DOI = "
doi:10.1145/2330784.2330794",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "This paper proposes a Grammatical Evolution framework to the automatic design of Evolutionary Algorithms. We define a grammar that has the ability to combine components regularly appearing in existing evolutionary algorithms, aiming to achieve novel and fully functional optimization methods. The problem of the Royal Road Functions is used to assess the capacity of the framework to evolve algorithms. Results show that the computational system is able to evolve simple evolutionary algorithms that can effectively solve Royal Road instances. Moreover, some unusual design solutions, competitive with standard approaches, are also proposed by the grammatical evolution framework.",
-
notes = "Also known as \cite{2330794} Distributed at
GECCO-2012.
ACM Order Number 910122.",
