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
Link To Document :
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