Optimization of Storage Allocation For Final Goods Warehouse Using Genetic Algorithm

In the manufacturing industry in the modern era, several constraints are often encountered in the development and management of warehouses, such as arranging goods that are not neatly arranged so that a lot of free space is not utilized optimally in the warehouse. In this research, the Genetic Algorithm application was discussed in optimizing the arrangement of storage of manufactured goods in warehouses. Genetic Algorithm is a method that is often used in optimizing by relying on natural selection to get the best fitness value; the items used are cubic with different sizes according to the type of thing. The use of Genetic Algorithms in this research aims to find the best fitness value in the allocation of goods in the finished warehouse so that the arrangement and allocation of goods are not done carelessly and can reduce the free space in the warehouse; the results of this study will be displayed in the java application in the form of tables and visualization of placement of goods on the shelf.