Performs a Compact Genetic Algorithm (CGA) search
	for a given chromosome size, population size (mutation rate), 
 and an objective function.

Performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.

Mehmet Satman

eive

An Algorithm for Reducing Errors-in-Variable Bias in Simple and
Multiple Linear Regressions

cga function

<dl><dt>chsize</dt>
<dd>Number of bits.</dd>
<dt>popsize</dt>
<dd>Size of population. The value is used for mutating 
the probability vector by 1/popsize.</dd>
<dt>evalFunc</dt>
<dd>Objective function.</dd></dl>

Arguments

Compact Genetic Algorithm — cga

<dl>

<dt>chsize</dt>
<dd>Number of bits.</dd>


<dt>popsize</dt>
<dd>Size of population. The value is used for mutating 
the probability vector by 1/popsize.</dd>


<dt>evalFunc</dt>
<dd>Objective function.</dd>

</dl>

cga: Compact Genetic Algorithm

Description

Usage

Value

Arguments