MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Benefits and Problems of Using Cycle-Cutset Within Iterative Improvement Algorithms

Download:
Download as a PDF | Download as a PS
by Harald Meyer
http://www.sieda.com/technologie/cs/papers/puk2000.ps
Add To MetaCart

Abstract:

Some experiments on randomly generated partial constraint satisfaction problems as well as an example from the domain of real world nurse rostering illustrate the advantage of the cyclecutset method as a repair step in iterative search. These results motivate the integration of adopted algorithms on solving tree-structured constraint problems and the cycle-cutset method into modern constraint-based optimization with branch-and-bound and propagation of global constraints. 1

Citations

751 Constraint networks – Dechter - 1992
386 Partial constraint satisfaction – Freuder, Wallace - 1992
219 A sufficient condition for backtrack-free search – Freuder - 1982
70 The calculus of fuzzy restrictions as a basis for flexible constraint satisfaction – Dubois, Fargier, et al. - 1993
60 Complexity of k-tree structured constraint satisfaction problems – Freuder - 1990
25 Improved relaxation and search methods for approximate constraint satisfaction with a maximin criterion – Snow, Freuder - 1990
20 auf'm Hofe. ConPlan/SIEDAplan: Personnel assignment as a problem of hierarchical constraint satisfaction – Meyer - 1997
12 The cycle-cutset method for improving search performance – Dechter, Pearl - 1987
7 Enhancementschemes for constraint processing: Backjumping, learning, and cutset decomposition – Dechter - 1990
2 auf'm Hofe. Nurse rostering as constraint satisfaction with fuzzy constraints and inferred control strategies – Meyer - 2000
1 auf'm Hofe. KombinatorischeOptimierung mit Constraintverfahren --- Probleml sung ohne anwendungsspezifische Suchstrategien – Meyer - 1999