API Documentation

desdeo_tools.interaction Package

This module contains classes implementing different interactions to be used to communicate between different optimization algorithms and users.

Functions

validate_ref_point_data_type(reference_point)
validate_ref_point_dimensions(…)
validate_ref_point_with_ideal(…)
validate_ref_point_with_ideal_and_nadir(…)
validate_with_ref_point_nadir(…)

Classes

PrintRequest(message[, request_id])	Methods can use this request class to send out textual information to be displayed to the decision maker.
SimplePlotRequest(data, message[, …])	Methods can use this request class to send out some data to be shown to the decision maker (typically in the form of a plot).
ReferencePointPreference(dimensions_data[, …])	Methods can use this request class to ask the DM to provide their preferences in the form of a reference point.

Class Inheritance Diagram

desdeo_tools.scalarization Package

This module implements methods for defining functions to scalarize vector valued functions. These are knows as `Scalarizer`s. It also provides achievement scalarizing functions to be used with the scalarizers.

Classes

AugmentedGuessASF(nadir, ideal, index_to_exclude)	Implementation of the augmented GUESS related ASF as presented in Miettinen 2006 equation (3.4)
MaxOfTwoASF(nadir, ideal, lt_inds, lte_inds)	Implements the ASF as defined in eq.
PointMethodASF(nadir, ideal[, rho, rho_sum])	Implementation of the reference point based ASF as presented in Miettinen 2006 equation (3.3)
ReferencePointASF(preferential_factors, …)	Uses a reference point q and preferential factors to scalarize a MOO problem.
SimpleASF(weights)	Implements a simple order-representing ASF.
StomASF(ideal[, rho, rho_sum])	Implementation of the satisfying trade-off method (STOM) as presented in Miettinen 2006 equation (3.2)
DiscreteScalarizer(scalarizer[, scalarizer_args])	Implements a class to scalarize discrete vectors given a scalarizing function.
Scalarizer(evaluator, scalarizer[, …])	Implements a class for scalarizing vector valued functions with a given scalarization function.

Class Inheritance Diagram

desdeo_tools.solver Package

This module implements methods for solving scalar valued functions.

Classes

DiscreteMinimizer(discrete_scalarizer[, …])	Implements a class for finding the minimum value of a discrete of scalarized vectors.
ScalarMethod(method[, method_args, use_scipy])	A class the define and implement methods for minimizing scalar valued functions.
ScalarMinimizer(scalarizer, bounds[, …])	Implements a class for minimizing scalar valued functions with bounds set for the variables, and constraints.
ScalarSolverException

Class Inheritance Diagram