A multi-objective crude oil purchase optimization method
An optimization method and multi-objective technology, applied in the field of multi-objective crude oil purchase optimization, can solve problems such as high cost and large deviation of properties
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[0076] In this example, 8 kinds of crude oil are set to participate in the mixing, and 7 target properties are selected, namely density, sulfur, nitrogen, acid value, nickel, viscosity and pour point. The property P of the given target crude oil obj =[1.11,0.17,0.5,14.45,0.879,97.12,43.2] and the price C of buying crude oil i =[105.46,103.37,102.67,105.46,102.57,14073,.113.73,109.07] (unit: USD / barrel)
[0077] The evaluation data of 8 crude oils are selected from the crude oil evaluation database, and then 7 different property data of the target crude oils corresponding to these 8 crude oils are screened out. The crude oil to be selected is numbered sequentially according to Y01, Y02, ..., Y08, and the rand function in the matlab software is used to generate n random numbers between 0 and 1, where n is the number of crude oils; The randi function generates 3 to 5 random variables of 0-1 integers whose value is 1 and other values are 0; the position of 1 in the 0-1 integer...
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