Published 2016
| Version v1
Journal article
Portfolio Approaches for Constraint Optimization Problems
- Others:
- Department of Computer Science and Engineering [Bologna] (DISI) ; Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
- Foundations of Component-based Ubiquitous Systems (FOCUS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Dipartimento di Informatica - Scienza e Ingegneria [Bologna] (DISI) ; Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)-Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
- University of Oslo (UiO)
Description
Within the Constraint Satisfaction Problems (CSP) context, a methodology that has proven to be particularly performant consists of using a portfolio of different constraint solvers. Nevertheless, comparatively few studies and investigations have been done in the world of Constraint Optimization Problems (COP). In this work, we provide a generalization to COP as well as an empirical evaluation of different state of the art existing CSP portfolio approaches properly adapted to deal with COP. The results obtained by measuring several evaluation metrics confirm the effectiveness of portfolios even in the optimization field, and could give rise to some interesting future research.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01336686
- URN
- urn:oai:HAL:hal-01336686v1
- Origin repository
- UNICA