- author = "G. Smits and E. Vladislavleva",
- title = "Ordinal Pareto Genetic Programming",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson",
- pages = "3114--3120",
- address = "Vancouver, BC, Canada",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- ISBN = "0-7803-9487-9",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://ieeexplore.ieee.org/servlet/opac?punumber=11108",
-
DOI = "
10.1109/CEC.2006.1688703",
- abstract = "This paper introduces the first attempt to combine the theory of ordinal optimisation and symbolic regression via genetic programming. A new approach called Ordinal ParetoGP allows obtaining considerably fitter solutions with more consistency between independent runs while spending less computational effort. The conclusions are supported by a number of experiments using three symbolic regression benchmark problems of various size.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
