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
Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world over. Fro...
Local search is a powerful technique on many combinatorial optimisation problems. However, the effec...
Constraint satisfaction plays an important role in theoretical and applied computer science. Constra...
Date du colloque : 07/2008International audienceIn the paper we describe a theoretical framewor...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
© 2008 Muhammad Rafiq Bin Muhammad.This thesis investigates the use of local search methods in solvi...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
This book covers local search for combinatorial optimization and its extension to mixed-variable opt...
Cílem této práce bylo aplikovat současné algoritmy systematického a lokálního prohledávání na zobecn...
This paper presents a study for the dynamic selection of operators in a local search process. The ma...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
Stochastic Local Search algorithms (SLS) are a class of methods used to tacklehard combinatorial opt...
Constraint satisfaction plays an important role in theoretical and applied computer science. Constra...
Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world over. Fro...
Local search is a powerful technique on many combinatorial optimisation problems. However, the effec...
Constraint satisfaction plays an important role in theoretical and applied computer science. Constra...
Date du colloque : 07/2008International audienceIn the paper we describe a theoretical framewor...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
© 2008 Muhammad Rafiq Bin Muhammad.This thesis investigates the use of local search methods in solvi...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
This book covers local search for combinatorial optimization and its extension to mixed-variable opt...
Cílem této práce bylo aplikovat současné algoritmy systematického a lokálního prohledávání na zobecn...
This paper presents a study for the dynamic selection of operators in a local search process. The ma...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
Stochastic Local Search algorithms (SLS) are a class of methods used to tacklehard combinatorial opt...
Constraint satisfaction plays an important role in theoretical and applied computer science. Constra...
Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world over. Fro...
Local search is a powerful technique on many combinatorial optimisation problems. However, the effec...
Constraint satisfaction plays an important role in theoretical and applied computer science. Constra...