DocumentCode
2294057
Title
A Theoretical Framework for Local Search Techniques
Author
Monfroy, Eric ; Saubion, Frédéric ; Crawford, Broderick ; Castro, Carlos
Author_Institution
Nantes Univ., Valparaiso
fYear
2008
fDate
16-18 July 2008
Firstpage
335
Lastpage
342
Abstract
In the paper we describe a theoretical framework to model local search as the computation of a fixed point of functions. There are only few studies of theoretical frameworks for local search, this work allows one to simulate standard strategies used for local search and to easily design new strategies in a uniform framework. The use of this framework is illustrated through the description of Tabu search and random walk methods for solving different instances of Sudoku problem.
Keywords
constraint theory; operations research; search problems; Sudoku problem; Tabu search; local search techniques; random walk methods; uniform framework; Algorithm design and analysis; Artificial intelligence; Computational modeling; Computer science; Constraint theory; Databases; Genetic algorithms; Mathematics; Processor scheduling; Search problems; Constraint Satisfaction Problem (CSP); Constraint Solving; Local Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location
Sao Paulo
Print_ISBN
978-0-7695-3193-9
Type
conf
DOI
10.1109/CSE.2008.40
Filename
4578251
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