- author = "Mihai Oltean",
- title = "Evolving Evolutionary Algorithms Using Linear Genetic Programming",
- journal = "Evolutionary Computation",
- year = "2005",
- volume = "13",
- number = "3",
- pages = "387--410",
- month = "Fall",
- keywords = "genetic algorithms, genetic programming, linear genetic programming, evolving evolutionary algorithms",
- ISSN = "1063-6560",
- broken = "http://www.ingentaconnect.com/content/mitpress/evco/2005/00000013/00000003/art00006",
-
DOI = "
doi:10.1162/1063656054794815",
- size = "24 pages",
- abstract = "A new model for evolving Evolutionary Algorithms is proposed in this paper. The model is based on the Linear Genetic Programming (LGP) technique. Every LGP chromosome encodes an EA which is used for solving a particular problem. Several Evolutionary Algorithms for function optimisation, the Travelling Salesman Problem and the Quadratic Assignment Problem are evolved by using the considered model. Numerical experiments show that the evolved Evolutionary Algorithms perform similarly and sometimes even better than standard approaches for several well-known benchmarking problems.",
- publisher = "MIT Press",
-
notes = "http://mitpress.mit.edu/catalog/item/default.asp?ttype=4&tid=25
TSB, QAP
PMID: 16156929",
