- author = "Vladimir Kvasnieka and Jioi Pospichal",
- title = "Simple Implementation of Genetic Programming by Column Tables",
- booktitle = "Soft Computing in Engineering Design and Manufacturing",
- year = "1997",
- editor = "Pravir K. Chawdhry and Rajkumar Roy and Raj K. Pant",
- pages = "48--56",
- publisher_address = "Godalming, GU7 3DJ, UK",
- month = "23-27 " # jun,
- publisher = "Springer-Verlag London",
- keywords = "genetic algorithms, genetic programming, directed acyclic graphs, symbolic regression, DAG",
- ISBN = "3-540-76214-0",
-
URL = "
http://www.springer.com/engineering/mechanical+eng/book/978-3-540-76214-0?cm_mmc=Google-_-Book%20Search-_-Springer-_-0",
-
DOI = "
doi:10.1007/978-1-4471-0427-8_6",
- abstract = "Simple implementation of genetic programming by making use of the column tables is discussed. Implementations of Koza's genetic programming in compiled languages are usually not most efficient when crossover is applied. If chromosomes are directed acyclic graphs, more efficient than rooted trees both in memory requirement as well as in evaluation time of chromosome, then crossover requires traversing the data structures and their preliminary analysis. Column tables inherently code directed acyclic graphs, the implementation of crossover is simple and needs neither traversing nor checking of integrity of resulting data structures and should be therefore more efficient. Stochastic transformation operation mutation is also easily defined. Column tables can represent graphs with several output nodes and may be used e.g. for optimization of feed-forward neural networks. Simple illustrative examples of symbolic regression based on the column tables are presented.",
-
notes = "WSC2 Second On-line World Conference on Soft Computing
in Engineering Design and
Manufacturing
wsc2/ind_paper/p_kvasni.html URL broken 2005",
