validateSetup

Validate optimizer setup

Since R2026a

Syntax

status = validateSetup(obj)

[___] = validateSetup(___,numsamples)

Description

status = validateSetup(obj) runs validation on the optimizer object specified in obj and returns the validation status as 1 if validation succeeds or an appropriate error message otherwise.

[___] = validateSetup(___,numsamples) runs the validation using the number of samples of design variables specified in numsamples.

Examples

Validate Optimizer Setup

Define the bounds for the optimizer. Specify the evaluation function.

s = OptimizerSADEA([3 0.11; 7 0.13]);
s.CustomEvaluationFunction = @customEvaluationOnlyObjective;

Validate the optimizer setup using 10 design variable samples.

validateSetup(s,10)

ans = logical
   1

Define the evaluation function.

function fitness = customEvaluationOnlyObjective(designVariables)

    % Create geometry
    ant = design(dipole,75e6);
    ant.Length = designVariables(1);
    ant.Width = designVariables(2);

    % Calculate directivity
    % Optimizer always minimizes the objective hence reverse the sign to maximize gain.
    objective = max(max(pattern(ant,75e6)));
    objective = -objective; 
    
    % As there are no constraints, fitness equals objective.
    fitness = objective;

end

Input Arguments

obj — Optimizer to validate

OptimizerSADEA object | OptimizerTRSADEA object

Optimizer to validate, specified as an OptimizerSADEA or OptimizerTRSADEA object.

Example: OptimizerSADEA

numsamples — Number of samples of design variables

1 (default) | positive integer

Number of samples of design variables for validation, specified as a positive integer. By default, the validation check runs for a single sample.

Example: 10

Data Types: double

Output Arguments

status — Validation status

error message | 1

Validation status, returned as a logical value 1 for successful validation or appropriate error message otherwise.

Version History

Introduced in R2026a