系统地研究了在约束条件可调整的情况下CMMO问题中可行性与目标协调的关系,论述了当系统优化不可行时,在进行软约束调整的过程中要兼顾系统的期望目标,以获得满意的优化结果.运用混合逻辑的方法描述了软约束调整的优先级,并将多目标协调问题转化为逻辑约束满足问题,从而系统地解决了稳态优化中软约束调整与目标协调问题.以壳牌重油分馏塔标准问题为例进行了仿真,仿真结果表明了该算法的有效性. The relationship between feasibility and goal coordination in CMMO problem is systematically studied. When the system optimization is not feasible, it is necessary to take into account the expected goals of the system in order to be satisfied The method of mixed logic is used to describe the priority of soft constraint adjustment and the multi-objective coordination problem is transformed into the problem of logic constraint satisfaction so as to solve the problem of soft constraint adjustment and target coordination in steady state optimization systematically.Taking Shell Heavy Oil Fractionation tower as an example of the standard simulation, the simulation results show the effectiveness of the algorithm.