Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/pricai/KimMP10,

• title = "Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees",
• author = "Kangil Kim and R. I. (Bob) McKay and Dharani Punithan",
• booktitle = "{PRICAI} 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings",
• publisher = "Springer",
• year = "2010",
• volume = "6230",
• editor = "Byoung-Tak Zhang and Mehmet A. Orgun",
• isbn13 = "978-3-642-15245-0",
• pages = "100--111",
• series = "Lecture Notes in Computer Science",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://dx.doi.org/10.1007/978-3-642-15246-7",
• DOI = "doi:10.1007/978-3-642-15246-7_12",
• abstract = "Probabilistic models are widely used in evolutionary and related algorithms. In Genetic Programming (GP), the Probabilistic Prototype Tree (PPT) is often used as a model representation. Drift due to sampling bias is a widely recognised problem, and may be serious, particularly in dependent probability models. While this has been closely studied in independent probability models, and more recently in probabilistic dependency models, it has received little attention in systems with strict dependence between probabilistic variables such as arise in PPT representation. Here, we investigate this issue, and present results suggesting that the drift effect in such models may be particularly severe; so severe as to cast doubt on their scalability. We present a preliminary analysis through a factor representation of the joint probability distribution. We suggest future directions for research aiming to overcome this problem",
• bibdate = "2010-08-27",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/pricai/pricai2010.html#KimMP10",

}

Genetic Programming entries for Kangil Kim R I (Bob) McKay Dharani Punithan

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