在缺乏先验知识的前提下,提出了约束条件的一种满意度,按照遗传算法求解多目标问题的步骤,求出非劣解集;然后根据适应度大小选出最优解;最后算例证明了该算法的有效性和可行性。
In the condition of lack of initial knowledge,this paper gave satisfactory degree of constraint function,according to the step of genetic algorithm to solve multi-objective programming,and got non-poor solution set,then according to fitness value,selected the optimal solution.At last,the examples prove the effectiveness and viability of algorithm using the method to solve multi-objective programming with interval coefficients.