cga_generate_chromosome

Generate a binary vector using a probability vector
	This function is not directly called by user. CGAs (Compact genetic algorithms)
	sample chromosomes using this probability vector. A probability vector
	contains[P1, P2, ..., PN] and the function generates and returns a chromosome[B1, B2, ..., BN].
	The probability of BK having the value of 1 is PK. So, it has more chance to have
	[1, 1, 1, 0, 0] rather than [0, 0, 0, 1, 1] when the probability vector is
 	[0.9, 0.9, 0.9, 0.1, 0.1].

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_generate_chromosome function

<dl><dt>prob_vec</dt>
<dd>Vector of probabilities</dd>
<dt>vect</dt>
<dd>Vector of bits.</dd></dl>

Arguments

Generate Chromosome — cga_generate_chromosome

<dl>

<dt>prob_vec</dt>
<dd>Vector of probabilities</dd>


<dt>vect</dt>
<dd>Vector of bits.</dd>

</dl>

cga_generate_chromosome: Generate Chromosome

Description

Usage

Value

Arguments