A Combined Tchebycheff/Aspiration Criterion Vector Interactive Multiobjective Programming Procedure
结合切比雪夫法和期望准则向量法，提出一种改进的交互式多目标规划方法，利用两种方法的互补特性，在早期用切比雪夫法探索非劣解集，后期用期望准则向量法精确定位最终解，计算实验表明该方法比单独使用任一方法更有效。
In this paper we combine the Tchebycheff method of Steuer and Choo with Wierzbicki's Aspiration Criterion Vector method in order to form an improved procedure for interactive multiple objective programming. The Combined procedure is sensible because the Tchebycheff and Aspiration Criterion Vector methods possess complementary distinguishing characteristics, solve similar optimization problems to probe the nondominated set, and share a similar computer/user interface. In the early iterations, Tchebycheff probes of the nondominated set might be conducted to locate promising neighborhoods of search. In later iterations, Aspiration Criterion Vector probes might be used to pinpoint a final solution. Computational experience is reported showing the improved effectiveness of the Combined Procedure when employed in this fashion when compared against the Tchebycheff and Aspiration Criterion Vector methods run separately.