Crate gentle_ga 

Gentle, ergonomic GA framework with strong typing and static dispatch.

Design goals:

• Minimal trait surface for users: implement Problem for your genome.
• Sensible defaults: mutate/crossover/repair are optional.
• Configurable selection policy (default tournament).
• Clear separation of concerns: Problem = domain logic; Engine = orchestration.
• Deterministic runs via seed; no RNG state stored in Problem.

Modules

prelude

Prelude for convenient imports.

Structs

Builder

Builder for GA with ergonomic configuration and sensible defaults.

Config

Overall configuration for a GA run.

Evaluated

A genome with its evaluated fitness.

GA

Genetic Algorithm engine.

RunResult

Summary of a completed run.

TournamentSelection

Default selection: tournament with configurable size k (>= 2).

Enums

Optimize

Direction of optimization for fitness comparison.

Traits

Problem

Core problem definition. Implement this to adapt the GA to your domain.

Selection

Selection strategy for choosing parents from an evaluated population.