Add to ORKGA template is presented that captures the majority of local search algorithms proposed in the literature, such as iterative improvement, simulated annealing, threshold accepting, tabu search, and genetic algorithms. The template leads to a classification of existing local search algorithms and suggests directions for designing new types of local search approaches
We present a computational performance analysis of local search algorithms for job shop schedul-ing....
We present a computational performance analysis of local search algorithms for job shop scheduling. ...
Analysis and classification of mental states of vigilance with evolutionary computatio
A template is presented that captures the majority of local search algorithms proposed in the litera...
A template is presented that captures a vast majority of the local search algorithms proposed in the...
The major problem in solving combinatorial optimization problems is the huge size of the search spac...
AbstractThe major problem in solving combinatorial optimization problems is the huge size of the sea...
International audienceMany stochastic local search (SLS) methods rely on the manipulation of single ...
Many stochastic local search (SLS) methods rely on the manipulation of single solutions at each of t...
peer reviewedAchieving a balance between the exploration and exploitation capabilities of genetic al...
Achieving a balance between the exploration and exploitation capabilities of genetic algorithms is a...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
Date du colloque : 07/2008International audienceIn the paper we describe a theoretical framewor...
Local search techniques like simulated annealing and tabu search are based on a neighborhood structu...
We present a computational performance analysis of local search algorithms for job shop schedul-ing....
We present a computational performance analysis of local search algorithms for job shop scheduling. ...
Analysis and classification of mental states of vigilance with evolutionary computatio
A template is presented that captures the majority of local search algorithms proposed in the litera...
A template is presented that captures a vast majority of the local search algorithms proposed in the...
The major problem in solving combinatorial optimization problems is the huge size of the search spac...
AbstractThe major problem in solving combinatorial optimization problems is the huge size of the sea...
International audienceMany stochastic local search (SLS) methods rely on the manipulation of single ...
Many stochastic local search (SLS) methods rely on the manipulation of single solutions at each of t...
peer reviewedAchieving a balance between the exploration and exploitation capabilities of genetic al...
Achieving a balance between the exploration and exploitation capabilities of genetic algorithms is a...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
Date du colloque : 07/2008International audienceIn the paper we describe a theoretical framewor...
Local search techniques like simulated annealing and tabu search are based on a neighborhood structu...
We present a computational performance analysis of local search algorithms for job shop schedul-ing....
We present a computational performance analysis of local search algorithms for job shop scheduling. ...
Analysis and classification of mental states of vigilance with evolutionary computatio