Uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement
A multi-objective optimization and radio frequency identification technology, applied in the field of the Internet of Things, can solve problems such as no consideration of uncertainty, few performance indicators, etc.
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[0087] This section combines specific Attached picture , the embodiment of the present invention will be described in detail. The present invention utilizes the solution concrete steps of proposed method MOEA / D algorithm to be:
[0088] 2.1 Parameter setting
[0089] Before using MOEA / D in the present invention to optimize the layout of radio frequency identification readers, it is also necessary to set some parameters of the algorithm. The parameters that need to be set include the initial population size popsize, the cycle algebra gen, the range of decision variables, constraints, etc.
[0090] The present invention has been provided with parameter respectively and model is optimized respectively: pop=100, in this step, also be set to the constraint condition parameter of underground roadway:
[0091] x 1 =80,x 2 =90,x 3 =150,x 4 =160,X=200
[0092] the y 1 =10,y 2 =50,y 3 =60,y 4 =80,Y=100
[0093]In addition, in this paper, other parameters of MOEA / D are set ...
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