Paper Info
Title
Tuning Constrained Objects
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.
Year
DOI
Venue
2008
10.1007/978-3-540-69052-8_43
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
Keywords
Field
DocType
suitable object-oriented style,constraint programming,object model,constraint satisfaction engine,search process,search option,constrained objects,non-customizable search strategy,wide range,system rigidity,extensible formalism,heuristic search.,object oriented,constraint satisfaction,heuristic search
Rigidity (psychology),Constraint satisfaction,Heuristic,Mathematical optimization,Search engine,Guided Local Search,Computer science,Constraint programming,Beam search,Constraint satisfaction problem
Conference
Volume
ISSN
Citations 
5027
0302-9743
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Ricardo Soto11348.15
Laurent Granvilliers247837.77