该算法采用了两两竞赛的选择算子、聚集度、违约度来处理多目标约束优化。

This paper proposes genetic algorithms using tournament selection, niche count, and violation degree to solve this problem.

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此外，提出了这种具有概率约束多目标随机规划问题的一种有效解模型。

In addition, the efficiency solution scheme of this problem is given, after the multiple objective stochastic programming with probabilistic constrained is discussed.

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采用多目标、多约束的优化方法，以悬臂施工主梁的斜拉桥为例，建立了施工阶段的优化模型，并给出算例。

Based on the cable-stayed bridge using method of cantilever, the paper establishes the optimization model of construction phase with multi-objective and multi-constraint and gives the example.

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