smoof_function function

Smoof function

Regular R function with additional classes smoof_function and one of smoof_single_objective_function

or codesmoof_multi_objective_function. Both single- and multi-objective functions share the following attributes.

• name [character(1)]: Optional function name.

• id [character(1)]: Short identifier.

• description [character(1)]: Optional function description.

• has.simple.signature: TRUE if the target function expects a vector as input and FALSE

   if it expects a named list of values.
  

• par.set [ParamSet]: Parameter set describing different ascpects of the target function parameters, i. e., names, lower and/or upper bounds, types and so on.

• n.objectives [integer(1)]: Number of objectives.

• noisy [logical(1)]: Boolean indicating whether the function is noisy or not.

• fn.mean [function]: Optional true mean function in case of a noisy objective function.

• minimize [logical(1)]: Logical vector of length n.objectives indicating which objectives shall be minimzed/maximized.

• vectorized [logical(1)]: Can the handle vector input, i. e., does it accept matrix of parameters?

• constraint.fn [function]: Optional function which returns a logical vector with each component indicating whether the corresponding constraint is violated.

Futhermore, single-objective function may contain additional parameters with information on local and/or global optima as well as characterizing tags.

• tags [character]: Optional character vector of tags or keywords.
• global.opt.params [data.frame]: Data frame of parameter values of global optima.
• global.opt.value [numeric(1)]: Function value of global optima.
• local.opt.params [data.frame]: Data frame of parameter values of local optima.
• global.opt.value [numeric]: Function values of local optima.

Currenlty tagging is not possible for multi-objective functions. The only additional attribute may be a reference point:

• ref.point [numeric]: Optional reference point of length n.objectives

Description

Regular R function with additional classes smoof_function and one of smoof_single_objective_function

or codesmoof_multi_objective_function. Both single- and multi-objective functions share the following attributes.

• name [character(1)]: Optional function name.

• id [character(1)]: Short identifier.

• description [character(1)]: Optional function description.

• has.simple.signature: TRUE if the target function expects a vector as input and FALSE

   if it expects a named list of values.
  

• par.set [ParamSet]: Parameter set describing different ascpects of the target function parameters, i. e., names, lower and/or upper bounds, types and so on.

• n.objectives [integer(1)]: Number of objectives.

• noisy [logical(1)]: Boolean indicating whether the function is noisy or not.

• fn.mean [function]: Optional true mean function in case of a noisy objective function.

• minimize [logical(1)]: Logical vector of length n.objectives indicating which objectives shall be minimzed/maximized.

• vectorized [logical(1)]: Can the handle vector input, i. e., does it accept matrix of parameters?

• constraint.fn [function]: Optional function which returns a logical vector with each component indicating whether the corresponding constraint is violated.

Futhermore, single-objective function may contain additional parameters with information on local and/or global optima as well as characterizing tags.

• tags [character]: Optional character vector of tags or keywords.
• global.opt.params [data.frame]: Data frame of parameter values of global optima.
• global.opt.value [numeric(1)]: Function value of global optima.
• local.opt.params [data.frame]: Data frame of parameter values of local optima.
• global.opt.value [numeric]: Function values of local optima.

Currenlty tagging is not possible for multi-objective functions. The only additional attribute may be a reference point:

• ref.point [numeric]: Optional reference point of length n.objectives