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http://dx.doi.org/10.9708/jksci.2010.15.5.039

An Integration of Local Search and Constraint Programming for Solving Constraint Satisfaction Optimization Problems  

Hwang, Jun-Ha (금오공과대학교 컴퓨터공학부)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.5, 2010 , pp. 39-47 More about this Journal
Abstract
Constraint satisfaction optimization problem is a kind of optimization problem involving cost minimization as well as complex constraints. Local search and constraint programming respectively have been used for solving such problems. In this paper, I propose a method to integrate local search and constraint programming to improve search performance. Basically, local search is used to solve the given problem. However, it is very difficult to find a feasible neighbor satisfying all the constraints when we use only local search. Therefore, I introduced constraint programming as a tool for neighbor generation. Through the experimental results using weighted N-Queens problems, I confirmed that the proposed method can significantly improve search performance.
Keywords
Constraint Satisfaction Optimization Problem; Local Search; Constraint Programming;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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