Publication View

A Scheme for Unifying Optimization and Constraint Satisfaction Methods (2000)

Abstract
Optimization and constraint satisfaction methods are complementary to a large extent, and there has been much recent interest in combining them. Yet no generally accepted principle or scheme for their merger has evolved. We propose a scheme based on two fundamental dualities, the duality of search and inference and the duality of strengthening and relaxation. Optimization as well as constraint satisfaction methods can be seen as exploiting these dualities in their respective ways. Our proposal is that rather than employ either type of method exclusively, one can focus on how these dualities can be exploited in a given problem class. The resulting algorithm is likely to contain elements from both optimization and constraint satisfaction, and perhaps new methods that belong to neither. The last several years have seen increasing interest in combining the models and methods of optimization with those of constraint satisfaction. Integration of the two was initially impeded by the...

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.42.29
Source http://ba.gsia.cmu.edu/jnh/ker99.ps
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.47.721, 10.1.1.47.3465, 10.1.1.56.5444