| 唐文艳,袁清珂.改进的遗传算法求解桁架的拓扑优化[J].计算力学学报,2008,25(1):78~84 |
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| 改进的遗传算法求解桁架的拓扑优化 |
| Improved genetic algorithm for topology optimization of truss structures |
| 投稿时间：2006-06-20 修订日期：2007-10-08 |
| DOI：10.7511/jslx20081017 |
| 中文关键词: 遗传算法,混合编码,凝聚选择,重新开始算子,拓扑检验 |
| 英文关键词:genetic algorithm,mixed coding,surrogate reproduction,restart operator,topology check |
| 基金项目:广东工业大学博士启动经费资助项目
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广东省自然科学基金
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广东省重大技术专项 |
| 唐文艳 袁清珂 |
| 广东工业大学机电工程学院机械设计系 广州510090 |
| 摘要点击次数: 1630 |
| 全文下载次数: 26 |
| 中文摘要: |
| 提出了一种改进的遗传算法,用于优化具有离散尺寸、连续形状和0-1拓扑变量的桁架问题。考虑到离散和连续变量的本质,文中提出了混合编码方法,其中包括二进制和实数编码,整数和实数编码。本文采用了凝聚选择法-基于约束和适应度值双重标准,完全适应约束问题的本质。在优化过程中,初始种群和算子具有不确定性,因此有必要检验结构拓扑的合理性。为了增强算法的可靠性,采用了改进的重新开始算子,引入新基因并且探索新空间。求解了典型的算例,证明改进的遗传算法是可行且有效的。 |
| 英文摘要: |
| This paper presents an improved genetic algorithm(GA) to minimize weight of truss with discrete sizing,continuous shape and 0-1 topology variables. Because of the nature of discrete and continuous variables,mixed coding schemes are proposed,including binary and float coding,integer and float coding.Surrogate reproduction is developed to select good individuals to mating pool on the basis of constraint and fitness values,which completely considers the character of constrained optimization.Because the initial population is created randomly and three operators of GA are also indeterminable,it is necessary to check whether the structural topology is desirable.An improved restart operator is proposed to introduce new gene and explore new space,so that the reliability of GA is enhanced.Standard examples are solved,numerical solutions are better than those in the literature.It is demonstrated that the improved GA scheme is feasible and effective. |
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