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Assemble tests

ATA.assemble! — Method
assemble!(ata_model::AbstractModel; solver="jump", starting_design=Matrix{Float64}(undef, 0, 0), results_folder="results", start_temp=0.1, geom_temp=0.1, n_item_sample=1, n_test_sample=1, opt_feas=0.0, n_fill=1, max_time=1000.00, max_conv=2, feas_nh=0, opt_nh=5, verbosity=2, optimizer_constructor="GLPK", optimizer_attributes=[("tm_lim", 1000)])

Description

Assemble the tests.

Arguments

  • ata_model::AbstractModel : Required. The model built with ATA fuctions.
  • solver : Optional. Default: "jump". Values: "jump", "siman". The solving interface to be used (JuMP or internal solver based on Simulated Annealing).
  • starting_design : Optional. Default: Matrix{Float64}(undef, 0, 0). The starting design matrix. Must be a Matrix{Float64}.
  • results_folder : Optional. Default: "results". The folder in which the output is stored.

siman arguments

  • start_temp : Optional. Default: 0.1. Values: [0, Inf]. Starting temperature, set to minimum for short journeys (if 0 worse solutions will never be accepted).

  • geom_temp : Optional. Default: 0.1. Values: [0, Inf). Decreasing geometric factor.

  • n_item_sample : Optional. Default: 1. Values: [1, Inf]. Number of items to alter. Set to minimum for a shallow analysis, set to maximum for a deep analysis of the neighbourhoods.

  • n_test_sample : Optional. Default: 1. Values: [1, Inf]. Number of tests to alter. Set to minimum for a shallow analysis, set to maximum for a deep analysis of the neighbourhoods.

  • opt_feas : Optional. Default: 0.0. Values: [0, Inf). Optimality/feasibility balancer, if 0 only feasibility of solution is analysed. Viceversa, if 1, only optimality is considered (uncontrained model). All the other values are accepted but produce uninterpretable results.

  • n_fill : Optional. Default: 1. Values: [0, Inf). Number of fill-up phases, usually 1 is sufficient, if starttemp is high it can be higher. If a startingdesign is supplied, it can be set to 0.

  • verbosity : Optional. Default: 2. Values: 1 (minimal), 2 (detailed). Verbosity level. In the console '+' stands for improvement, '_' for accepting worse solution. The dots are the fill-up improvement steps.

    • Termination criteria

      • max_time : Optional. Default: 1000.0. Values: [0, Inf). Time limit in seconds.
      • max_conv : Optional. Default: 2. Values: [1, Inf). Maximum convergence, stop when, after max_conv rounds no improvements have been found. Set to minimum for shallow analysis, increase it for deep analysis of neighbourhoods.
      • feas_nh : Optional. Default: 0. Values: [1, Inf). Maximum number of Feasibility neighbourhoods to explore, set to the minimum if the model is small or not highly constrained.
      • opt_nh : Optional. Default: 5. Values: [1, Inf). Maximum number of Optimality neighbourhoods to explore, set to the minimum if the model is highly constrained.

jump arguments

  • optimizer_constructor : Optional. Default: "GLPK". Values: "GLPK", "Knitro", "Gurobi", "Cbc", "CPLEX", "Xpress", "SCIP", "Juniper". JuMP solver selection. Remember to load the required package before assemble!.
  • optimizer_attributes : Optional. Default: [("tm_lim", 1000)]. Values: An array of pairs (attribute, value). Attributes and related values for the JuMP solver.

other keyword arguments

  • kwargs... : Optional.
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