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performance of high power vacuum electron device for ANN modeling
- Citation Author(s):
-
DongyangWang
- Submitted by:
- Dongyang Wang
- Last updated:
- Tue, 08/20/2024 - 05:40
- DOI:
- 10.21227/d2th-3151
- License:
396 Views- Categories:
- Keywords:
Abstract
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.
This dataset contains three text files. In the file "TotalValues.txt," the values of the 44 optimization parameters are recorded. "Gen" refers to the generation number, and "Series" refers to the individual number within each generation. Note that the parameters named "ZP1" and "ZP25" have been selected as tuning parameters. In the file "TotalScores.txt," the scores for the frequency tunability evaluation of each individual are provided. In the file "TotalResults.txt," detailed simulation results and subscores (model scores) for combinations of the tuning parameters for each individual are included.
