Scheme for unifying optimization and constraint satisfaction methods

John Hooker, Greger Ottosson, Erlender S. Thorsteinsson, Hak Jin Kim

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)11-30
Number of pages20
JournalKnowledge Engineering Review
Volume15
Issue number1
DOIs
Publication statusPublished - 2000 Mar

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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