Graphical language for optimization and use

A method, comprising:

• transmitting a graphical representation of a well-posed optimization problem comprising an interconnected network of nodes and connections to a remote electronic device, wherein the optimization problem relates to an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model whose output is a decision variable in the parametric objective function, and at least one connection comprises a parametric hybrid model that describes parametric constraints on at least one decision variable in the optimization problem;
• receiving a user command input comprising an instruction to change a location and an orientation of a selected node in the graphical representation of the optimization problem;
• changing location and orientation of each of the nodes and connections of the interconnected network automatically and in response to the user command input, wherein changing the location and the orientation of each of the nodes and connections updates the optimization problem by changing an optimization order of the nodes in the optimization problem such that the selected node is prioritized in the optimization problem;
• and
• executing optimization with the updated optimization problem.

A non-transitory computer-readable medium having computer instructions encoded thereon, wherein the computer instructions comprise instructions for:

• transmitting a graphical representation of a well-posed optimization problem comprising an interconnected network of nodes and connections to a remote electronic device, wherein the optimization problem relates to a plant of an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model whose output is a decision variable in the parametric objective function, and at least one connection comprises a parametric hybrid model that describes parametric constraints on at least one decision variable in the optimization problem;
• receiving a user command input comprising an instruction to change a location and an orientation of a selected node in the graphical representation of the optimization problem;
• changing location and orientation of each of the nodes and connections of the interconnected network automatically and in response to the user command input, wherein changing the location and the orientation of each of the nodes and connections updates the optimization problem by changing an optimization order of the nodes such that the selected node is prioritized in the optimization problem;
• and
• executing optimization with the updated optimization problem.