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We present a family of a constraint-based local search algorithms and investigate their performance results on hardwares with several hundreds of processors.
We address the issue of parallelizing constraint solvers based on local search methods for massively parallel architectures, involving several thousands of CPUs ...
Abstract—We address the issue of parallelizing constraint solvers based on local search methods for massively parallel.
We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds ...
We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds ...
We present the parallel implementation of a constraint-based Local Search algorithm and investigate its performance on several hardware plat-forms.
For example, in a multicast communication setting where a single node is ... As the parallel algorithm invokes the constraint-based local search algorithm.
Start with random configuration. • Repeat compute the errors on constraints combine the errors on each variable select the worst variable X (except if ...
We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results on hardware with several hundreds ...
Local search metaheuristics are a recognized means of solving hard combinatorial problems. Over the last couple of decades, significant advances have been ...