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。
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.
出处
《工程力学》
EI
CSCD
北大核心
2009年第9期131-137,共7页
Engineering Mechanics
基金
国家自然科学基金重大项目(50638050)
新世纪优秀人才支持计划项目(NCET-06-0517)
国家863计划(2007AA042441)
关键词
改进遗传算法
预应力钢结构
索张拉顺序
自适应遗传算子
优秀个体保护策略
improved genetic algorithm
prestressed steel structure
sequence of tensioning cables
adaptive genetic algorithm
the protection of excellent individuals
