在给定了一族参数的多目标最优化问题中，灵敏度分析是定量的分析。
In the problems of a given family of parametrized multiobjective optimization, sensitivity analysis is the quantitative analysis.
进化算法作为处理复杂函数最优化、多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective optimization problems, which are attached more and more importance to.
在此基础上，得到了向量目标函数既是似凸又是拟凸的多目标最优化问题的G-恰当有效解集是连通的结论。
On the conditions that vector objective function is like-convex and quasi-convex, we obtain the connectedness of G-proper efficient solution set of the multiobjective optimization problem.
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