PyEvopt user guide

Pyevopt is an open-source framework which offers what is necessary to optimize real functions with genetics algorithms and a wide range of operators.

Note

This project is under active development.

Getting started

• What is PyEvopt?
• Installing PyEvopt
  • About dependencies
• PyEvopt quickstart
  • Defining the problem
  • Building an algorithm
  • The Optimizer

API Reference

• Base Module
• Algorithm
  • Algorithm
    • Algorithm.next()
• EarlyStopCriteria
  • EarlyStopCriteria
    • EarlyStopCriteria.check()
    • EarlyStopCriteria.init()
    • EarlyStopCriteria.next()
• Sampler
  • Sampler
    • Sampler.generate()
• Population
  • Population
    • Population.evaluate()
• Optimizer
  • Optimizer
    • Optimizer.run()
• Genetic Algorithm
  • GeneticAlgorithm
    • GeneticAlgorithm.next()
  • Operators
    • Selection Operators
      • SelectionTournament
      • SelectionRouletteWheel
    • Crossover Operators
      • KPointCrossover
      • UniformCrossover
    • Mutation Operators
      • NormalMutation
      • FlipMutation
    • Survival Operators
      • BasicSurvival
• Early Stop Criteria
  • Max Evaluation Criteria
    • MaxEvaluationCriteria
      • MaxEvaluationCriteria.check()
      • MaxEvaluationCriteria.next()
  • Max Iteration Criteria
    • MaxIterationCriteria
      • MaxIterationCriteria.check()
      • MaxIterationCriteria.next()
• Sampler
  • RealSampler
    • RealSampler
      • RealSampler.generate()