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Reza Rafeh

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Engineering
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Research

Title
Using Heuristic-based Search for Zinc Models
Type
JournalPaper
Keywords
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Year
2013
Journal International Journal of Intelligent Systems and Applications
DOI
Researchers Reza Rafeh ، Roya Rashidi

Abstract

The Zinc modelling language provides a rich set of constraints, data structures and expressions to support high-level modelling. Zinc is the only modelling language that supports all solving techniques: constraint programming, mathematical methods, and local search. By providing search patterns, it allows users to implement their search methods in a declarative way. There are currently three search patterns implemented in Zinc: backtracking search, branch and bound search, and local search. In this paper we explain how Zinc efficiently implements user-defined local search algorithms.