- author = "Leonardo Vanneschi and Giuseppe Cuccu",
- title = "A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems",
- booktitle = "International Conference on Evolutionary Computation (ICEC 2009)",
- editor = "Antonio Dourado and Agostinho Rosa and Kurosh Madani",
- year = "2009",
- pages = "119--126",
- address = "Madeira, Portugal",
- month = "5-7 " # oct,
- organization = "INSTICC",
- publisher = "SciTePress",
- keywords = "genetic algorithms, genetic programming, Variable Size Population, Dynamic Optimization",
- isbn13 = "978-989-674-014-6",
-
URL = "
http://www.idsia.ch/~giuse/papers/van09icec.pdf",
-
URL = "
https://www.scitepress.org/PublicationsDetail.aspx?ID=p73OqwRRp1I=&t=1",
-
DOI = "
doi:10.5220/0002314701190126",
- bibdate = "2010-03-03",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ijcci/ijcci2009.html#VanneschiC09",
- size = "8 pages",
- abstract = "A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. problems where target functions change with time). The suitability of this model is tested on a set of benchmarks based on some well known symbolic regression problems. Experimental results confirm that our variable size population model finds solutions of similar quality to the ones found by standard Genetic Programming, but with a smaller amount of computational effort.",
-
notes = "https://www.scitepress.org/ProceedingsDetails.aspx?ID=BKrT7ZO14Ew=&t=1
broken http://www.icec.ijcci.org/Abstracts/2009/ICEC_2009_Abstracts.htm",
