[1] Sergienko I.V., Kaspshitskaya M.F. Models and methods solving combinatorial optimization problems on computers. Kyiv
International audienceThis chapter sets up a formal framework for local search and provides a certai...
The performance assessment of stochastic local search (SLS) algorithms for multi-objective optimizat...
The information provided is the sole responsibility of the authors and does not necessarily reflect ...
Accelerated probabilistic modeling algorithms, presenting stochastic local search (SLS) technique, a...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
The main objective of this paper is to provide a state-of-the-art review, analyze and discuss stocha...
Université Libre de Bruxelles, Brussels, BelgiumTR/IRIDIA/2007-003info:eu-repo/semantics/publishe
A local search algorithm for the optimization of the stochastic economic lot scheduling problem / M....
Combinatorial optimisation problems are an important and well-studied class of problems, with applic...
Combinatorial optimization problems can be found in many aspects ofmanufacturing, computer science, ...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
Many stochastic local search (SLS) methods rely on the manipulation of single solutions at each of t...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
In this chapter, we give an overview of the main concepts underlying the stochastic local search (SL...
Stochastic local search (SLS) algorithms are typically composed of a number of different components,...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
The performance assessment of stochastic local search (SLS) algorithms for multi-objective optimizat...
The information provided is the sole responsibility of the authors and does not necessarily reflect ...
Accelerated probabilistic modeling algorithms, presenting stochastic local search (SLS) technique, a...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
The main objective of this paper is to provide a state-of-the-art review, analyze and discuss stocha...
Université Libre de Bruxelles, Brussels, BelgiumTR/IRIDIA/2007-003info:eu-repo/semantics/publishe
A local search algorithm for the optimization of the stochastic economic lot scheduling problem / M....
Combinatorial optimisation problems are an important and well-studied class of problems, with applic...
Combinatorial optimization problems can be found in many aspects ofmanufacturing, computer science, ...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
Many stochastic local search (SLS) methods rely on the manipulation of single solutions at each of t...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
In this chapter, we give an overview of the main concepts underlying the stochastic local search (SL...
Stochastic local search (SLS) algorithms are typically composed of a number of different components,...
International audienceThis chapter sets up a formal framework for local search and provides a certai...
The performance assessment of stochastic local search (SLS) algorithms for multi-objective optimizat...
The information provided is the sole responsibility of the authors and does not necessarily reflect ...