本文对随机规划经验逼近最优解集的几乎处处上半收敛性进行了研究。
This paper discussed almost everywhere upper semiconvergence of optimal solution set of empirical approximations for stochastic programs.
该操作不仅起到了维持非劣最优解集均匀性的作用，而且增强了算法的搜索功能。
The operation not only helps to maintain uniformity of the Pareto optimal solution set, but enhances the algorithm's searching ability.
研究了最优解集过程的平稳性、马氏性以及最优值过程的鞅性和最优解集过程的集值勒性。
The stationary property, Markoy Property and martingale property of the optimal solution sets process are discussed.
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