| 摘要 |
In a planning model, a decision variable optimization process ( 200 ) generates a planning function ( 122 ) describing the planning model, the planning function ( 122 ) depending upon a set of decision variables ( 125 ). The planning function ( 122 ) is separated into independent planning functions, SP<SUB>i</SUB>, each of which depend upon different decision variables ( 125 ). Each of the independent planning functions, SP<SUB>i</SUB>, is independently optimized to obtain decisions for the different decision variables ( 125 ), and an outcome is presented that indicates the decisions. The planning function ( 122 ) further includes an embedded constraint function that introduces an embedded constraint to weaken the coupling between decision variables ( 125 ) in the planning model, thereby reducing an N-dimensional optimization problem into a lower order optimization problem.
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