| 基于混合遗传算法的建筑结构优化设计 |
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| 引用本文： | 张延年,刘斌,郭鹏飞.基于混合遗传算法的建筑结构优化设计[J].东北大学学报(自然科学版),2003,24(10):990-993. |
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| 作者姓名： | 张延年 刘斌 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. 辽宁工学院土木建筑系,辽宁锦州,121001 |
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| 基金项目： | 辽宁省高等学校科研项目(990821107)· |
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| 摘 要： | 提出一种离散变量结构优化设计的单向搜索算法并与标准遗传算法结合成混合遗传算法,即发挥了单向搜索算法省时、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·算例结果表明,该方法能直接计算具有应力约束和截面尺寸约束的离散变量结构优化设计问题,也能处理同时具有稳定约束和位移约束的多工况、多约束、多变量的离散变量结构优化设计问题·这种混合遗传算法优于标准遗传算法和单向搜索算法,是兼二者之长,弃二者之短的高效的理想优化设计方法·
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| 关 键 词： | 全局最优 离散变量 结构优化 单向搜索算法 遗传算法 标准遗传算法 混合遗传算法 |
| 文章编号： | 1005-3026(2003)10-0990-04 |
| 修稿时间： | 2003年4月29日 |
Hybrid Genetic Algorithm for Optimum Design of Building Structures |
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| ZHANG Yan-nian,LIU Bin,GUO Peng-fei.Hybrid Genetic Algorithm for Optimum Design of Building Structures[J].Journal of Northeastern University(Natural Science),2003,24(10):990-993. |
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| Authors: | ZHANG Yan-nian LIU Bin GUO Peng-fei |
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| Institution: | ZHANG Yan-nian~1,LIU Bin~1,GUO Peng-fei~2 |
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| Abstract: | A hybrid genetic algorithm (HGA) composed of the standard genetic algorithm (SGA) and unidirectional searching algorithm (USA) is proposed, taking their advantages of time saving, high efficiency and powerfully local searching capability of USA, as well as the global searching capability of genetic algorithm (GA). The results by exemplification show that this method can not only be used directly to work out the optimum structural design with discrete variables to constrain both stress and cross-section area but deal with the discrete structural optimization featured with multi-loading, multi-constraints and multi-variables. HGA, as an efficient optimal method having advantages of both SGA and USA without their disadvantages, is superior to either one. |
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| Keywords: | ?global optimum discrete variables structural optimization unidirectional searching algorithm genetic algorithm standard genetic algorithm hybrid genetic algorithm |
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