Publication details
A New Labeling Algorithm to Solve Minimal Perturbation Problems: A Preliminary Report
| Authors | |
|---|---|
| Year of publication | 2003 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 22nd Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG) |
| MU Faculty or unit | |
| Citation | |
| Web | http://www.fi.muni.cz/~hanka/publications.html |
| Field | Informatics |
| Keywords | constraint satisfaction; solution update; search |
| Description | Solving real-life planning, scheduling, and timetabling problems is usually an iterative process in which, after seeing the generated solution, users may change the problem constraints. This change requires producing a new solution which satisfies these constraints but not being too far from the original solution. This type of problem is called a minimal perturbation problem. The paper formally describes a minimal perturbation problem in the context of constraint satisfaction and it proposes a new depth-first search algorithm for solving a particular instance of the minimal perturbation problem. |
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