ParticleSwarm does not respect `Optim.Options(iterations=x)`

[NightMachinery]

julia> Optim.Options(iterations=10)
                x_abstol = 0.0
                x_reltol = 0.0
                f_abstol = 0.0
                f_reltol = 0.0
                g_abstol = 1.0e-8
                g_reltol = 1.0e-8
          outer_x_abstol = 0.0
          outer_x_reltol = 0.0
          outer_f_abstol = 0.0
          outer_f_reltol = 0.0
          outer_g_abstol = 1.0e-8
          outer_g_reltol = 1.0e-8
           f_calls_limit = 0
           g_calls_limit = 0
           h_calls_limit = 0
       allow_f_increases = false
 allow_outer_f_increases = false
        successive_f_tol = 1
              iterations = 10
        outer_iterations = 1000
             store_trace = false
           trace_simplex = false
              show_trace = false
          extended_trace = false
              show_every = 1
                callback = nothing
              time_limit = NaN


julia> result = optimize(x-> f(x[1],x[2]), [0.0,0.0], ParticleSwarm())
 * Status: failure (reached maximum number of iterations) (line search failed)

 * Candidate solution
    Minimizer: [5.00e+00, -1.00e+00]
    Minimum:   -9.116548e+01

 * Found with
    Algorithm:     Particle Swarm
    Initial Point: [0.00e+00, 0.00e+00]

 * Convergence measures
    |x - x'|               = NaN ≰ 0.0e+00
    |x - x'|/|x'|          = NaN ≰ 0.0e+00
    |f(x) - f(x')|         = NaN ≰ 0.0e+00
    |f(x) - f(x')|/|f(x')| = NaN ≰ 0.0e+00
    |g(x)|                 = NaN ≰ 1.0e-08

 * Work counters
    Seconds run:   28  (vs limit Inf)
    Iterations:    1000
    f(x) calls:    4001
    ∇f(x) calls:   0

julia> Optim.Options(outer_iterations=12)
                x_abstol = 0.0
                x_reltol = 0.0
                f_abstol = 0.0
                f_reltol = 0.0
                g_abstol = 1.0e-8
                g_reltol = 1.0e-8
          outer_x_abstol = 0.0
          outer_x_reltol = 0.0
          outer_f_abstol = 0.0
          outer_f_reltol = 0.0
          outer_g_abstol = 1.0e-8
          outer_g_reltol = 1.0e-8
           f_calls_limit = 0
           g_calls_limit = 0
           h_calls_limit = 0
       allow_f_increases = false
 allow_outer_f_increases = false
        successive_f_tol = 1
              iterations = 1000
        outer_iterations = 12
             store_trace = false
           trace_simplex = false
              show_trace = false
          extended_trace = false
              show_every = 1
                callback = nothing
              time_limit = NaN


julia> result = optimize(x-> f(x[1],x[2]), [0.0,0.0], ParticleSwarm())
 * Status: failure (reached maximum number of iterations) (line search failed)

 * Candidate solution
    Minimizer: [4.99e+00, -9.97e-01]
    Minimum:   -9.114673e+01

 * Found with
    Algorithm:     Particle Swarm
    Initial Point: [0.00e+00, 0.00e+00]

 * Convergence measures
    |x - x'|               = NaN ≰ 0.0e+00
    |x - x'|/|x'|          = NaN ≰ 0.0e+00
    |f(x) - f(x')|         = NaN ≰ 0.0e+00
    |f(x) - f(x')|/|f(x')| = NaN ≰ 0.0e+00
    |g(x)|                 = NaN ≰ 1.0e-08

 * Work counters
    Seconds run:   30  (vs limit Inf)
    Iterations:    1000
    f(x) calls:    4001
    ∇f(x) calls:   0

[NightMachinery]

My usage was incorrect. This is the correct syntax:

optimize(slow, zeros(2), NelderMead(), Optim.Options(time_limit = 3.0))