Performance Enhanced Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{yu:1997:pegp,

• author = "Chris Clack and Tina Yu",
• title = "Performance Enhanced Genetic Programming",
• booktitle = "Proceedings of the Sixth Conference on Evolutionary Programming",
• year = "1997",
• editor = "Peter J. Angeline and Robert G. Reynolds and John R. McDonnell and Russ Eberhart",
• volume = "1213",
• series = "Lecture Notes in Computer Science",
• pages = "87--100",
• address = "Indianapolis, Indiana, USA",
• publisher_address = "Berlin",
• month = apr # " 13-16",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-62788-3",
• URL = "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/ep97.pdf",
• URL = "ftp://bells.cs.ucl.ac.uk/functional/papers/Published/ep97.ps.gz",
• DOI = "doi:10.1007/BFb0014803",
• size = "14 pages",
• abstract = "Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest tasks because of the performance overheads of evolving a large number of data structures, many of which do not correspond to a valid program. We address this problem directly and demonstrate how the evolutionary process can be achieved with much greater efficiency through the use of a formally-based representation and strong typing. We report initial experimental results which demonstrate that our technique exhibits significantly better performance than previous work.",
• notes = "EP-97",

}

Genetic Programming entries for Christopher D Clack Tina Yu

Citations