Diversity Control in GP with ADF for Regression Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Xie:2005:AJCAI,

• title = "Diversity Control in {GP} with {ADF} for Regression Tasks",
• author = "Huayang Xie",
• year = "2005",
• pages = "1253--1257",
• booktitle = "AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings",
• editor = "Shichao Zhang and Ray Jarvis",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3809",
• address = "Sydney, Australia",
• month = dec # " 5-9",
• keywords = "genetic algorithms, genetic programming, diversity control",
• ISBN = "3-540-30462-2",
• DOI = "doi:10.1007/11589990_181",
• size = "5 pages",
• abstract = "two-phase diversity control approach to prevent the common problem of the loss of diversity in Genetic Programming with Automatically Defined Functions. While most recent work focuses on diagnosing and remedying the loss of diversity, this approach aims to prevent the loss of diversity in the early stage through a refined diversity control method and a fully covered tournament selection method. The results on regression tasks suggest that these methods can effectively improve the system performance by reducing the incidences of premature convergence and the number of generations needed an optimal solution.",
• notes = "PART IV: Short Papers",

}

Genetic Programming entries for Huayang Jason Xie

Citations