macop.algorithms.multi.MOSubProblem

MOEAD sub problem algorithm class

Classes

MOSubProblem(_index, _weights, _initalizer, …)

Specific MO sub problem used into MOEAD

class macop.algorithms.multi.MOSubProblem.MOSubProblem(_index, _weights, _initalizer, _evaluator, _operators, _policy, _validator, _maximise=True, _parent=None)

Specific MO sub problem used into MOEAD

index

{int} – sub problem index

weights

{[float]} – sub problems objectives weights

initalizer

{function} – basic function strategy to initialize solution

evaluator

{function} – basic function in order to obtained fitness (mono or multiple objectives)

operators

{[Operator]} – list of operator to use when launching algorithm

policy

{Policy} – Policy class implementation strategy to select operators

validator

{function} – basic function to check if solution is valid or not under some constraints

maximise

{bool} – specify kind of optimisation problem

currentSolution

{Solution} – current solution managed for current evaluation

bestSolution

{Solution} – best solution found so far during running algorithm

callbacks

{[Callback]} – list of Callback class implementation to do some instructions every number of evaluations and load when initializing algorithm

run(_evaluations)

Run the local search algorithm

Parameters

_evaluations – {int} – number of evaluations

Returns

{Solution} – best solution found