performance of high power vacuum electron device for ANN modeling

The dataset used was derived from a frequency tunable high power vacuum electron devices (HPVED) optimization task using a simple genetic algorithm (SGA). This device has the topology with 44 optimization parameters and 2 tuning parameters. Each of the two tuning parameters has 6 and 7 discrete adjustment values, respectively. The population size is set to 54, and each individual requires 42 simulations to evaluate its tunability. The algorithm iterated 13 times, resulting in a dataset containing 708 individuals and 29,736 sets of parameters, of which 589 individuals and 24,738 parameter sets were unique.