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Parallel Fitness Computation in the Genetic Algorithm
Designated as the go-to optimisation algorithm for QKD protocols, GA can take up a lot of time to run. Due to a CPU-bound nature of fitness calculations in the case of QKD protocols' simulation and optimisation, it is most suitable to make computation parallel right at this stage of the GA. In order to do that, a new class should be defined, which creats processes for chromosomes' evaluation, taking into account possible slave-master (and other) structures of a 'parallel' genetic algorithm.
The text was updated successfully, but these errors were encountered:
Parallel Fitness Computation in the Genetic Algorithm
Designated as the go-to optimisation algorithm for QKD protocols, GA can take up a lot of time to run. Due to a CPU-bound nature of fitness calculations in the case of QKD protocols' simulation and optimisation, it is most suitable to make computation parallel right at this stage of the GA. In order to do that, a new class should be defined, which creats processes for chromosomes' evaluation, taking into account possible slave-master (and other) structures of a 'parallel' genetic algorithm.
The text was updated successfully, but these errors were encountered: