| 建筑结构优化设计的改进进退遗传算法 |
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| 引用本文： | 张延年,刘斌,李艺,郭鹏飞.建筑结构优化设计的改进进退遗传算法[J].哈尔滨工业大学学报,2006,38(3):410-413. |
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| 作者姓名： | 张延年 刘斌 李艺 郭鹏飞 |
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| 作者单位： | 1. 东北大学,资源与土木工程学院,辽宁,沈阳,110004
2. 辽宁工学院,土木工程系,辽宁,锦州,121001 |
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| 基金项目： | 国家自然科学基金资助项目（40072006）;辽宁省博士后启动基金资助项目（20041014） |
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| 摘 要： | 针对遗传算法在迭代过程中经常出现未成熟收敛、振荡、随机性太大、局部搜索能力差和迭代过程缓慢等缺点.提出一种离散变量结构优化设计的进退搜索算法与遗传算法结合在一起解决问题;并提出一种新的遗传算子———转基因算子,用于对遗传算法的改进.结果表明,这种改进退遗传算法即发挥了进退搜索算法省时、高效、局部搜索能力强的特点,又发挥了遗传算法全局性好的特点;采用的改进措施效果明显,其收敛特性得到很好的改善.该算法是高效的理想工程结构优化设计方法.
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| 关 键 词： | 离散变量 结构优化 改进遗传算法 混合遗传算法 |
| 文章编号： | 0367-6234(2006)03-0410-04 |
| 收稿时间： | 2004-06-01 |
| 修稿时间： | 2004年6月1日 |
Improved forward-and-back genetic algorithm for building structures optimum design |
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| ZHANG Yan-nian,LIU Bin,LI Yi,GUO Peng-fei.Improved forward-and-back genetic algorithm for building structures optimum design[J].Journal of Harbin Institute of Technology,2006,38(3):410-413. |
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| Authors: | ZHANG Yan-nian LIU Bin LI Yi GUO Peng-fei |
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| Abstract: | In view of that the standard genetic algorithm has such frequent shortcomings as premature convergence,oscillation and over-randomization in iterative process,a forward-and-back searching algorithm for structural optimization with discrete variables is proposed,and is combined with GA to solve problems.Moreover, a new genetic operator named transgenic operator has been developed for the purpose of improving GA.The results show that the convergent property of improved forward-and-back genetic algorithm is improved and the method has the advantages of saving time,high efficiency,powerful locally searching capability of FA, and also has the advantages of globally searching capability of genetic algorithm.This algorithm is an efficient optimal design method for engineering structure. |
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| Keywords: | discrete variables structural optimization improved genetic algorithm hybrid genetic algorithm |
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