Pedro De Miguel

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Parallel genetic algorithms (PGA) are a powerful tool to deal with complex optimization problems. Nevertheless, additional parameters are required to configure properly their performance. The task to select these parameters accurately is an optimization problem by itself. Any additional help or hints to adjust the configuration parameters will lead both(More)
This paper describes a toolset, whose objective is to provide full support for the analysis and testing of temporal behavior in the development of parallel realtime systems. The development approach supported by the toolset is based on an incremental prototyping technique combined with successive analyses and tests of the temporal behavior of prototypes(More)
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