PyDGGA

PyDGGA: distributed GGA for automatic configuration. We present PyDGGA, a Python tool that implements a distributed version of the automatic algorithm configurator GGA, which is a specialized genetic algorithm to find high quality parameters for solvers and algorithms. PyDGGA implements GGA using an event-driven architecture and runs a simulation of future generations of the genetic algorithm to maximize the usage of the available computing resources. Overall, PyDGGA offers a friendly interface to deploy elastic distributed AC scenarios on shared high-performance computing clusters.

References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Ansótegui, Carlos; Pon, Josep; Sellmann, Meinolf; Tierney, Kevin: PyDGGA: distributed GGA for automatic configuration (2021)