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中文摘要：
针对遗传算法在迭代过程中经常出现未成熟收敛、发生振荡、随机性太大等缺点，该文将自适应遗传算子和优秀个体保护策略引入遗传算法优化计算的过程中。以每根索在分批张拉时所在的批次作为变量，各索施加张拉力总值最小为优化目标，采用改进的遗传算法进行预应力钢结构索张拉顺序优化，确定合理的索张拉顺序，从而有效地克服了依据经验确定索张拉顺序的盲目性，为预应力钢结构索的张拉提供了一种可行方法。
英文摘要：
On the view of the standard genetic algorithm （SGA） having such frequent shortcomings as premature convergence, oscillation and over-randomization in iterative process, an approach for an adaptive genetic algorithm and protection of excellent individuals was presented in this paper. In this method, the sequence of tensioning cables was defined as design variables and the minimum sum of tension acted on cables was taken as the optimized aim. A reasonable sequence of tensioning cables was given by an improved genetic algorithm proposed to optimize the sequence of tensioning cables in the pre-stressed steel structures. This method overcomes the shortage of giving the sequence of tensioning cables empirically in the traditional construction means, which provides a feasible method for optimization ofpre-stressed steel structure constructions.
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