Add numeric next to continues as signed, unsigned and real are all valid

Author: basvanwesting

README.md

@@ -132,16 +132,16 @@ Run with `cargo run --example [EXAMPLE_BASENAME] --release`
 ## Heterogeneous Genotype Support
 
 MultiRangeGenotype supports heterogeneous chromosomes that mix different gene
-semantics (continuous values, discrete choices, booleans) within a single
-numeric type `T`.
+semantics (continuous values, numeric values, discrete choices, booleans)
+within a single numeric type `T`.
 
 ## Mutation Type Visualization
 
 The library supports various mutation strategies that affect how the genetic
 algorithm explores the search space. Random leads to the best results overall.
 Random is the default and is supported by all Genotypes. 
 
-But for continues genotypes (RangeGenotype and MultiRangeGenotype) there are
+But for numeric genotypes (RangeGenotype and MultiRangeGenotype) there are
 several alternatives. These might converge faster, but are all more sensitive to
 local optima than Random. The visualization below shows how different mutation
 types explore a 2D search space when searching for a target point:

src/genotype/multi_range.rs

@@ -17,8 +17,8 @@ pub type DefaultAllele = f32;
 /// a value from its own allele_range with a uniform probability. Each gene has a equal probability
 /// of mutating, regardless of its allele_range size. If a gene mutates, a new values is taken from
 /// its own allele_range with a uniform probability. Duplicate allele values are allowed. Supports
-/// heterogeneous chromosomes that mix different gene semantics (continuous values, discrete
-/// choices, booleans) within a single numeric type `T`.
+/// heterogeneous chromosomes that mix different gene semantics (continuous values, numeric values,
+/// discrete choices, booleans) within a single numeric type `T`.
 ///
 /// # Mutation types
 /// See [MutationType]
@@ -46,7 +46,8 @@ pub type DefaultAllele = f32;
 /// # Heterogeneous Genotype Support
 ///
 /// MultiRangeGenotype supports heterogeneous chromosomes that mix different gene semantics
-/// (continuous values, discrete choices, booleans) within a single numeric type `T`.
+/// (continuous values, numeric values, discrete choices, booleans) within a single numeric type
+/// `T`.
 ///
 /// Use `.with_mutation_types(vec![...])` to specify behavior for each gene individually:
 ///

src/lib.rs

@@ -112,7 +112,7 @@
 //! ## Heterogeneous Genotype Support
 //!
 //! [MultiRangeGenotype](crate::genotype::MultiRangeGenotype) supports heterogeneous chromosomes that mix
-//! different gene semantics (continuous values, discrete choices, booleans) within a single
+//! different gene semantics (continuous values, numeric values, discrete choices, booleans) within a single
 //! numeric type `T`.
 //!
 //! ## [MutationType](crate::genotype::MutationType) Visualization
@@ -121,7 +121,7 @@
 //! algorithm explores the search space. Random leads to the best results overall.
 //! Random is the default and is supported by all Genotypes.
 //!
-//! But for continues genotypes ([RangeGenotype](crate::genotype::RangeGenotype) and
+//! But for numeric genotypes ([RangeGenotype](crate::genotype::RangeGenotype) and
 //! [MultiRangeGenotype](crate::genotype::MultiRangeGenotype)) there are several alternatives.
 //! These might converge faster, but are all more sensitive to local optima than Random. The
 //! visualization example shows how different mutation types explore a 2D search space when searching