Evolutionary

A Julia package for evolutionary & genetic algorithms.

Documentation	Build Status	References

Installation

The package can be installed with the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run:

pkg> add Evolutionary

Algorithms

• (μ/ρ(+/,)λ)-SA-ES (ES)
• (μ/μ_I,λ)-CMA-ES (CMAES)
• Genetic Algorithms (GA)
  • Multi-objective: NSGA-II (NSGA2)
• Differential Evolution (DE)
• Genetic Programming (TreeGP)

Operators

• Mutations

  • ES
    • (an)isotropic Gaussian
    • (an)isotropic Cauchy
  • GA
    • binary
      • flip
      • inversion
    • real valued
      • uniform
      • Gaussian
      • BGA (domain range)
      • (MI)PM (power)
      • PLM (polynomial)
    • combinatorial
      • inversion
      • insertion
      • swap2
      • scramble
      • shifting

• Recombinations

  • average
  • marriage

• Crossovers

  • binary
    • SPX (single point)
    • TPX (two point)
    • SHFX (shuffle)
    • UX (uniform)
    • BINX (binary)
    • EXPX (exponential)
    • BSX (binary subset)
  • real valued
    • DC (discrete)
    • AX (average)
    • WAX (weighted average)
    • IC (intermediate)
    • LC (line)
    • HX (heuristic)
    • (MI)LX (Laplace)
    • SBX (simulated binary)
  • combinatorial
    • PMX (partially-mapped)
    • OX1 (order)
    • OX2 (order-based)
    • CX (cycle)
    • POS (position-based)

• Selections

  • rank-based fitness assignment
  • (μ, λ)-uniform ranking
  • roulette (fitness proportionate selection, FSP)
  • stochastic universal sampling (SUS)
  • tournament
  • truncation