Crate nsga

nsga

nsga is an opinionated implementation of the NSGA-II (Non-dominated Sorting Genetic Algorithm), a multi-objective genetic optimization algorithm.

The focus for this implementation is on practical applicability, not necessarily just for optimizing pure mathematical functions.

A short tutorial is avaialble here.

Structs

• CandidateF64
• DefaultEvaluator
  Implements a default termination condition.
• NSGAOptimizer
  NSGA-II optimizer
• ParamsF64
• Ratio
  A simple ratio type

Traits

• Constraint
  A trait that can alter computed fitness score for a solution
• Evaluator
  Evaluate the termination condition
• Meta
  A trait to implement a set of meta-parameters for the optimization
• Objective
  An optimization objective trait
• Solution
  Solution represents a candidate solution.