The datasets comprise configurations of loading and unloading plans for container ships, generated under six distinct scenarios based on varying numbers of stacks and maximum stack heights of containers in each row. Considering typical container ship characteristics, scenarios encompass stack numbers ranging from 5 to 30 and maximum stack heights from 4 to 10.
Each sheet in this document meticulously details the electrical parameters of the grounding networks. Among all these parameters, touch voltage stands out as the most critical factor to consider in each evaluated conductor configuration.
The determination of these physical configurations is based on meticulous measurement of the distances between conductors on one side of the grid. It's important to note that in this context, square grids are being employed for grounding, which implies a specific arrangement of conductors.
This dataset was created and utilized for preparing an article submitted to the IEEE Transactions on Evolutionary Computtations. Based on critical review and experiment, the article intends to shed some light on the way crossover-mutation intraction balannce in GA could be comprehended in the view tthat current literature is short of providing generalized rule that guides determination of tha balance of the two operators across domains of problems.
This is the data of the identified parameters of practical series-series (SS)-compensated wireless power transfer (WPT) systems based on the Genetic Algorithm, Adaptive Differential Evolution, and two-layer Adaptive Differential Evolution. These data strongly validate the accuracy of the Adaptive Differential Evolution to identify the parameters of a two-coil SS-compensated WPT and the two-layer Adaptive Differential Evolution to identify the parameters of a three-coil SS-compensated WPT system. The data can be adopted as a reference for future investigations.
