Ordering genetic algorithm genomes with reconstructability analysis
نویسندگان
چکیده
منابع مشابه
Ordering genetic algorithm genomes with reconstructability analysis
The building block hypothesis implies that genetic algorithm (GA) effectiveness is influenced by the relative location of epistatic genes on the chromosome. We demonstrate this effect in four experiments, where chromosomes with adjacent epistatic genes provide improved results over chromosomes with separated epistatic genes. We also show that information-theoretic reconstructability analysis ca...
متن کاملLearning Bayesian Network Structure Using Genetic Algorithm with Consideration of the Node Ordering via Principal Component Analysis
‎The most challenging task in dealing with Bayesian networks is learning their structure‎. ‎Two classical approaches are often used for learning Bayesian network structure;‎ ‎Constraint-Based method and Score-and-Search-Based one‎. ‎But neither the first nor the second one are completely satisfactory‎. ‎Therefore the heuristic search such as Genetic Alg...
متن کاملReconstructability Analysis with Fourier Transforms
Fourier methods used in 2and 3-dimensional image reconstruction can be used also in reconstructability analysis (RA). These methods maximize a variance-type measure instead of information-theoretic uncertainty, but the two measures are roughly colinear and the Fourier approach yields results close to those of standard RA. The Fourier method, however, does not require iterative calculations for ...
متن کاملState-based Reconstructability Analysis
Reconstructability analysis (RA) is a method for detecting and analyzing the structure of multivariate categorical data. While Jones and his colleagues extended the original variable-based formulation of RA to encompass models defined in terms of system states, their focus was the analysis and approximation of real-valued functions. In this paper, we separate two ideas that Jones had merged tog...
متن کاملReconstructability analysis of epistasis.
The literature on epistasis describes various methods to detect epistatic interactions and to classify different types of epistasis. Reconstructability analysis (RA) has recently been used to detect epistasis in genomic data. This paper shows that RA offers a classification of types of epistasis at three levels of resolution (variable-based models without loops, variable-based models with loops...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of General Systems
سال: 2003
ISSN: 0308-1079,1563-5104
DOI: 10.1080/0308107031000152513