Tuning constrained objects

Soto R.; Granvilliers L.

Keywords: systems, search, modeling, intelligence, modelling, technology, constraint, strategies, tuning, control, object, artificial, black, satisfaction, boxes, international, heuristic, processes, programming, Intelligent, Conferences, Object-oriented, Customizable

Abstract

Constrained objects provide a suitable object-oriented style for modeling systems under constraints. A set of classes is defined to represent a problem, whose state is then controlled by a constraint satisfaction engine. This engine is commonly a black-box based on a predefined and non-customizable search strategy. This system rigidity, of course, does not allow users to tune models in order to improve the search process. In this paper we target this issue by presenting an extensible formalism to define a wide range of search options so as to customize, improve and/or analyze the search process of constrained object models. © 2008 Springer-Verlag Berlin Heidelberg.

Más información

Título de la Revista: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 5027
Editorial: Society of Laparoendoscopic Surgeons
Fecha de publicación: 2008
Página de inicio: 408
Página final: 414
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-48249129106&partnerID=q2rCbXpz