Title
A New Approach to Modeling and Solving Minimal Perturbation Problems
Abstract
Formulation of many real-life problems evolves when the problem is being solved. For example, a change in the environment might appear after the initial problem specification and this change must be reflected in the solution. Such changes complicate usage of a traditionally static constraint satisfaction technology that requires the problem to be fully specified before the solving process starts. In this paper, we propose a new formal description of changes in the problem formulation called a minimal perturbation problem. This description focuses on the modification of the solution after a change in the problem specification. We also describe a new branch-and-bound like algorithm for solving such type of problems.
Year
DOI
Venue
2003
10.1007/978-3-540-24662-6_13
Lecture Notes in Computer Science
Keywords
Field
DocType
constraint satisfaction,branch and bound
Constraint satisfaction,Mathematical optimization,Formal description,Constraint satisfaction problem,Constraint satisfaction dual problem,Local search (optimization),Timetabling problem,Perturbation (astronomy),Calculus,Mathematics
Conference
Volume
ISSN
Citations 
3010
0302-9743
8
PageRank 
References 
Authors
0.77
9
3
Name
Order
Citations
PageRank
Roman Barták133269.15
Tomás Müller2525.68
Hana Rudová334925.55