Crate moonlander_gp [−] [src]

Generic Genetic Programming framework routines

This crate supplies a generic framework for solving GP programs. As a consumer, you'll need to supply the following:

Enums to encode the various AST node types.
Implementations of AstNode, Mutatable and RandNode traits (which can usually be autogenerated using impl_astnode!()).
A fitness function evaluating the success of a given program.

Create random_population from your types, then call evolve repeatedly to improve the fitness of the population.

For a working example, see the santa_fe_ant in the examples/ directory.

Reexports

pub use num::Number;

genetic	Genetic operation functions
num	Numeric helper functions

impl_astnode	Implement AstNode and RandNode trait for a node type.
pick	Randomly pick from a weighted list of alternatives.

NodeWeights	Weights to use when deciding between internal and leaf nodes.
Population	Collection of programs
ScoreCard	Immutable tagged list of scores.

AstNode	Main trait to be implemented for AST node types
Fitness	Trait that models fitness for an individual
Mutatable	Mutation trait for nodes
RandNode	Implement trait to generate random subtrees of a given type.

clone_or_replace	Helper function for use inside `replace_children()`.
depth	Return the depth of an AST tree.
random_population	Generate a random population of size N.
retain_best	Take the best fraction of the population and fill back up to N with random programs.