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整数编码遗传算法离散变量优化设计
THE DISCRETE OPTIMIZATION OF STRUCTURES BASED ON A MODIFIED INTEGER CODED GENETIC ALGORITHM
【摘要】 提出了一种具有较强局部搜索能力的整数编码遗传算法,给出了离散变量结构优化的数学模型和适应度函数,它采用动态边界约束、有限变异算子、( - 1,0,1)规划算子等策略来改进算法。算例表明本文算法收敛速度快、收敛平稳
【Abstract】 A modified integer coded genetic algorithm with better ability of local searching for the discrete optimization of structure is presented.It proposes a fitness function and mathematics model.(-1,0,1)programming operator,restrictive mutation,dynamic boundary is proposed to convergence and ability to get the best solution.
【关键词】 遗传算法;
结构组合优化;
离散变量;
【Key words】 genetic algorithm; structural optimization; discrete variables;
【Key words】 genetic algorithm; structural optimization; discrete variables;
- 【文献出处】 低温建筑技术 ,Low Temperature Architecture Technology , 编辑部邮箱 ,2003年06期
- 【分类号】TU318
- 【被引频次】5
- 【下载频次】247