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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This article is based on the theoretical study and experimental analysis of multi-objective genetic algorithm and artificial immune algorithm's characteristics, and presents a method which is based on immune genetic algorithm to solve multi-objective optimization problems. The main contents are as follows: Firstly, the multi-objective optimization problems are described. Secondly, this paper designs an improved immune genetic algorithm model. Finally, use an example of a company to verify the effect of algorithm to solve practical problems.