Add to ORKGExploiting run time distributions to compare sequential and parallel stochastic local search algorithm
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
SIGLEAvailable from British Library Document Supply Centre- DSC:8717.57(HP-NOC-TR--221) / BLDSC - Br...
Local search techniques have been applied in optimization methods. The effect of local search to the...
Abstract. Run time distributions or time-to-target plots are very useful tools to characterize the r...
ICTAI 2016: 28th International Conference on Tools with Artificial Intelligence, San Jose, Californi...
In cloud systems, computation time can be rented by the hour and for a given number of processors. T...
International audienceThis paper presents a detailed analysis of the scalability and parallelization...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
AbstractStochastic local search (SLS) algorithms have recently been proven to be among the best appr...
Stochastic local search (SLS) algorithms have recently been proven to be among the best approaches t...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
Combinatorial optimisation problems are an important and well-studied class of problems, with applic...
A commonly used strategy for improving optimization algorithms is to restart the algorithm when it i...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
The performance assessment of stochastic local search (SLS) algorithms for multi-objective optimizat...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
SIGLEAvailable from British Library Document Supply Centre- DSC:8717.57(HP-NOC-TR--221) / BLDSC - Br...
Local search techniques have been applied in optimization methods. The effect of local search to the...
Abstract. Run time distributions or time-to-target plots are very useful tools to characterize the r...
ICTAI 2016: 28th International Conference on Tools with Artificial Intelligence, San Jose, Californi...
In cloud systems, computation time can be rented by the hour and for a given number of processors. T...
International audienceThis paper presents a detailed analysis of the scalability and parallelization...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
AbstractStochastic local search (SLS) algorithms have recently been proven to be among the best appr...
Stochastic local search (SLS) algorithms have recently been proven to be among the best approaches t...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
Combinatorial optimisation problems are an important and well-studied class of problems, with applic...
A commonly used strategy for improving optimization algorithms is to restart the algorithm when it i...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
The performance assessment of stochastic local search (SLS) algorithms for multi-objective optimizat...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
SIGLEAvailable from British Library Document Supply Centre- DSC:8717.57(HP-NOC-TR--221) / BLDSC - Br...
Local search techniques have been applied in optimization methods. The effect of local search to the...