1 research outputs found
Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization
Different Multi-Objective Optimization Methods
(MOOM) for solving Multi-Objective Optimization Problems
(MOOP) have been suggested in the literature. These methods
often comprise two stages (not necessarily sequential): i) the
search for the Pareto-optimal set and ii) the selection of a single
solution from this non-dominated set. Various studies
comparing performance of particular aspects of these methods
have been carried out. However, a theoretical support that
changes on the preferences of a Decision Maker (DM) will be
reflected in the same way on the solution of the MOOP given by
the MOOM has not been presented. In this work a consistency
measure to assess MOOM is proposed. It will used to compare
the performance of different methods available in the
literature. This study was performed using some benchmark
test problems, with two criteria.This work was supported in part by the Portuguese Fundacao para a Ciencia e Tecnologia under grants: PTDC/GES/70168/2006 and SFRH/BD/22808/2005