mo.mo_mm.mo_mm_desirability_optimizer

mo.mo_mm.mo_mm_desirability_optimizer(
    X_base,
    models,
    bounds,
    obj_func,
    **kwargs,
)

Optimizes the multi-objective function to find the next best point. Returns the best point, its desirability, and the history of objective values.

Parameters

Name	Type	Description	Default
X_base	np.ndarray	Existing design points.	required
models	list	List of trained surrogate models for each objective.	required
bounds	list	Bounds for each dimension.	required
obj_func	callable	Objective function to compute desirability and objectives.	required
**kwargs	Any	Additional arguments for the objective function.	{}

Returns

Name	Type	Description
	Tuple[np.ndarray, float, np.ndarray]	Tuple[np.ndarray, float, np.ndarray]: A tuple containing: - Best point (np.ndarray) - Best desirability (float) - History of objective values (np.ndarray)