class

Stochasta::DifferentialEvolution::Optimizer

Inherits Reference < Object

Constructors

new(pop_size : Int32, bounds : Array(Tuple(Float64, Float64)), f : Float64 = 0.8, cr : Float64 = 0.9, &cost_fn : Array(Float64) -> Float64)

Instance methods

best_cost

best_cost=(best_cost : Float64)

best_position

best_position=(best_position : Array(Float64))

bounds

bounds=(bounds : Array(Tuple(Float64, Float64)))

costs

costs=(costs : Array(Float64))

cr

cr=(cr : Float64)

f

f=(f : Float64)

optimize(generations : Int32, &cost_fn : Array(Float64) -> Float64) : Tuple(Array(Float64), Float64)

Run optimization for multiple generations

population

population=(population : Array(Array(Float64)))

step

Performs one iteration of the DE optimization