![]() We demonstrated effectiveness of the proposed approach on the basis of the data analysis of production enterprise functioning. As a result of the proposed approach, we carried out search for the best number of parallel evolutionary paths for the feature selection. ![]() It makes algorithm of features selection not so l ong and i n short time separates important features from noisy. This algorithm uses shortĮvolutionary paths. We proposed a parallel genetic algorithm to solve this problem. Sets of features can include unimportant features. ![]() These features characterize the evolution of a complex system. The paper shows the approach of important features selecting. The existence of this anylogic system is expected to be able to solve various problems, create many innovations and be able to improve the quality of human resources in various activities, especially in the transportation industry sector which continues to transform until now. simulation model line, the Company can determine the ship queue decision by using betel stacking. The methodology used for modeling this queue simulation is Anylogic by conducting simulation experiments. The purpose of this paper is to create a ship queue simulation model with a betel stacking system at PT Pelabuhan Sunda Kelapa Region 2. The use of applications and other software is the main method for humans to carry out their daily lives, including in the transportation industry, one of which is the Port. This concept uses science-based Internet of Things, Artificial Intelligence and Robots. In the midst of the development of the industrial era 4.0 to 5.0, technology plays an important role in various sectors, one of which is transportation.
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