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| 离散变量结构优化的改进组合型遗传算法 | |
| 引用本文： | 谢军,;阎杰,;毕全超,;朱守芹,;郭鹏飞. 离散变量结构优化的改进组合型遗传算法[J]. 河北建筑工程学院学报, 2014, 0(2): 10-13 |
| 作者姓名： | 谢军, 阎杰, 毕全超, 朱守芹, 郭鹏飞 |
| 作者单位： | [1]河北建筑工程学院土木工程学院,河北张家口075000; [2]辽宁工业大学土木建筑学院,辽宁锦州121001 |
| 摘 要： | 对离散组合型法进行改进,提出了一种新的初始点产生办法,提高了离散组合型法的局部寻优能力.把离散组合型算法作为组合型操作算子融合到遗传算法中,构造一种新的离散变量结构优化算法-组合型遗传算法.运用模拟退火技术构造惩罚函数来改造适值函数,使算法更稳定地收敛于全局可行最优解.与基本遗传算法和组合型算法的计算结果比较证明,改进的组合型遗传算法具有局部搜索快和全局性好的双重特点,是可行且有效的离散变量结构优化设计方法. |
| 关 键 词： | 离散变量 结构优化 组合型遗传算法 退火罚函数 |
Improved Combined shape Genetic Algorithm for Structural Optimization with Discrete Variables |
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| Affiliation: | XIE Jun, YAN Jie, BI Quan-chao, ZHU Shou-qin, GUO Peng-fei (1. Hebei Institute of Architecture and Civil Engineering, Hebei Zhangjiakou,075000 ,China; 2. College of Civil and Architecture Engineering,Liaoning University of Technology,Liaoning Jinzhou,121001,China) |
| Abstract: | A new approach to the generation of an initial point is proposed for discrete combined shape, which improve fully the local searching capability of discrete combined shape algorithm.Combined shape algorithm is embedded into genetic algorithm as a combined shape operator.Consequently a hybrid genetic algorithm for structural optimization with discrete variables is proposed.The con-strained optimization problems were dealt with by adaptive annealing penalty factors and penalty function.The numerical results show that improved combined shape genetic algorithm for struc-tural optimization with discrete variable problems has a faster convergence speed,which has ad-vantages of local searching capability and globally searching capability of genetic algorithm.Im-proved combined shape genetic algorithm is an efficient optimal design method for engineering structure. |
| Keywords: | discrete variable structural optimization combined shape genetic algorithm annealing pen-alty function |
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