By the partial preference information on the decision maker and an existing objective approach, a multi-objective quadratic programming model was constructed and the solution to this model can lower the sensitivity of each attribute.

Multi-objective evolutionary algorithm for multi-objective bi-level programming problems;

We discuss a bilevel multiobjective programming problem (BLP) where the upper-level problem is a multiobjective optimization problem including a parametric efficient value of the lower-level problems, and the lower-level problems take the decision variables of the upper-level problem as parameters.

This paper presents a bilevel multiobjective programming model (BLMOP) in the framework of set-valued optimization.

According to adjusting and optimizing algorithms and multi-level target planning algorithm , utilize Matlab and LinGo software to calculate, the optimum result is gained.