1.6. Gene Random functions¶
Table of Contents
Simple functions for performing gene randomisation.
1.6.1. Gene Randomisation¶
1.6.1.1. Integer functions¶
- natural_selection.genetic_algorithms.utils.random_functions.random_int(gene)¶
Random integer from range.
- Parameters
gene (Gene) – A gene with a set gene_min and gene_max.
- Returns
Random number.
- Return type
int
- natural_selection.genetic_algorithms.utils.random_functions.random_int_step(gene)¶
Random integer step from a range. Stepping can be solely to the right (increment), left (decrement), or in both. This depends on step_lower_bound and step_upper_bound values of the gene. For left steps only, both need to be negative. For right only, both should be positive values.
stepped_value = value + random(int, int)
Stepped values are still bound to the gene_min and gene_max constraints and will continue setting until condition is matched.
- Parameters
gene (Gene) – A gene with a set step_lower_bound and step_upper_bound.
- Returns
Stepped value.
- Return type
int
1.6.1.2. Float functions¶
- natural_selection.genetic_algorithms.utils.random_functions.random_gaussian(gene)¶
Random float from gaussian dist.
- Parameters
gene (Gene) – A gene with a set mu and sig.
- Returns
Random number.
- Return type
float
- natural_selection.genetic_algorithms.utils.random_functions.random_uniform(gene)¶
Random float from uniform dist.
- Parameters
gene (Gene) – A gene with a set gene_min and gene_max.
- Returns
Random number.
- Return type
float
- natural_selection.genetic_algorithms.utils.random_functions.random_gaussian_step(gene)¶
Random gaussian step. Stepping can be solely to the right (increment), left (decrement), or in both. This depends on mu and sig values of the gene. For left steps only, both need to be negative. For right only, both should be positive values. These need to be considered in advance.
stepped_value = value + gaussian(mu, sig)
Stepped values are still bound to the gene_min and gene_max constraints and will continue setting until condition is matched.
- Parameters
gene (Gene) – A gene with a set mu and sig.
- Returns
Stepped value.
- Return type
float
- natural_selection.genetic_algorithms.utils.random_functions.random_uniform_step(gene)¶
Random uniform step from a range. Stepping can be solely to the right (increment), left (decrement), or in both. This depends on step_lower_bound and step_upper_bound values of the gene. For left steps only, both need to be negative. For right only, both should be positive values.
stepped_value = value + uniform(l, u)
Stepped values are still bound to the gene_min and gene_max constraints and will continue setting until condition is matched.
- Parameters
gene (Gene) – A gene with a set step_lower_bound and step_upper_bound.
- Returns
Stepped value.
- Return type
float