Abstract (EN):
A growing attention has been devoted in recent years to optimisation in multiobjective contexts. As part of this increasing interest, metaheuristics are being adapted to handle multiple objectives, in an effort that has been motivated by the success of metaheuristics in single-objective contexts. Also as a result of significant recent attention, a number of object-oriented approaches for single-objective metaheuristics have been proposed, mainly aiming at bringing theory and application in this field closer, and facilitating the implementation and comparison of methods.
In this paper, an object-oriented framework for multiobjective local search, integrating several generic strategies, is briefly presented: the fundamental concepts of Multiobjective Combinatorial Optimisation are introduced, followed by an overview of Multiobjective Metaheuristics; a short review of object-oriented approaches to metaheuristics precedes the actual presentation of the framework, in which the general architecture and a template for multiobjective local search are highlighted; the paper ends with a short set of concluding remarks and lines for future developments.
Language:
Portuguese
Type (Professor's evaluation):
Scientific