CPC G06F 9/3853 (2013.01) [G06N 20/00 (2019.01)] | 20 Claims |
1. A system for generating a cluster combination instruction set using machine learning, the system comprising a computing device, wherein the computing device is configured to:
produce an alimentary element program, wherein producing the alimentary element program further comprises:
receiving at least one biological extraction datum from a user;
generating the alimentary element program as a function of the at least one biological extraction datum; and
displaying the alimentary element program to a user;
determine a particular distance for users to submit alimentary elements to a cluster;
receive, as a function of the particular distance, the alimentary elements within the particular distance;
generate a plurality of physical transfer paths between a plurality of interchange nodes using a machine-learning process configured to receive a cluster of a plurality of alimentary elements as an input and assign each of the plurality of transfer paths a score as a function of a predetermined variable, wherein the machine-learning process outputs a ranked lists of transfer paths as a function of a ranking criteria;
determine, as a function of the plurality of physical transfer paths, a physical transfer pattern, wherein determining the physical transfer pattern comprises:
generating an objective function of the plurality of physical transfer paths as a function of a plurality of constraints, wherein minimizing the objective function minimizes a plurality of physical transfer resources; and
generate a representation of the cluster combination instruction set via a graphical user interface to at least a physical transfer apparatus and the plurality of establishments.
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