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Comments (2)

daviehh avatar daviehh commented on June 7, 2024

Here's a minimum example:

using Evolutionary

using Random
Random.seed!(1)

f(x) = x[1]^2 + x[2]^2

c = BoxConstraints([-1.0, -1.0], [1.0, 1.0])
algo = DE(populationSize=10, F=0.6)
indiv = Evolutionary.initial_population(algo, bounds(c); rng=MersenneTwister(1))
indiv[1] .= 0

r = Evolutionary.optimize(f, c, indiv, algo, Evolutionary.Options(iterations=5, show_trace=true))

@show r
@show (r.minimum, f(r.minimizer))

returns

(r.minimum, f(r.minimizer)) = (0.012081746076744917, 0.0636671553915233)

r.minimum gives different results to f(r.minimizer)

from evolutionary.jl.

wildart avatar wildart commented on June 7, 2024

Thanks, nice catch.

from evolutionary.jl.

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