An algorithm for intelligently generating a case loading scheme based on multiple constraint conditions
A multi-constraint and box technology, applied in computing, software engineering design, instruments, etc., can solve the problems of unguaranteed space utilization, eccentric loading, and low loading efficiency
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Embodiment 1
[0097] refer to Figure 4 , 5 , an algorithm for intelligently generating a box loading scheme based on multiple constraints, including the following steps:
[0098] Step1: Initialize information, input the length, width and height of the box; the type and quantity of goods and the weight, quantity, length, width and height of each type of goods; initialize the stack S 1 , S 2 And the linked list S of feasible packing schemes 3 Is empty;
[0099] Step2: Generate a layer candidate length set and push it into the stack S 1 , that is to construct a collection of all cargo sizes not greater than the length of the box, and push its elements into the stack S 1 middle;
[0100] Step3: Judgment stack S 1 Whether it is empty, if it is empty, turn to Stepl0; otherwise, from the stack S 1 Take a value from the end of , as the length of the first layer, and turn to Step4;
[0101] Step4: Load the bricklaying surface or bricklaying body in the layer, search for the bricklaying sur...
Embodiment 2
[0120] The difference between this embodiment and Embodiment 1 is that in the fifth step of the balance adjustment algorithm of this embodiment, a random strategy is used to adjust the lateral offset of the total center of gravity, a layer of Lay is randomly selected from the current layer, and the total center of gravity of the layer is recorded horizontally. The coordinates are HX, if one of the following conditions is met: ① That is, the total center of gravity of the Lay layer and the total center of gravity of the cargo are on the side of the longitudinal centerline; ②The center of gravity of the Lay layer is different from the total center of gravity of the cargo on the side of the longitudinal centerline. and P t =Random[0,1], use the mirror method to rotate the Lay layer, and update the X-axis coordinate values of all goods in the rotation layer.
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