| 遗传模拟退火算法在结构优化设计中的应用 |
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| 引用本文： | 刘敬宇,朱朝艳.遗传模拟退火算法在结构优化设计中的应用[J].吉林建筑工程学院学报,2010,27(2):5-8. |
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| 作者姓名： | 刘敬宇 朱朝艳 |
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| 作者单位： | 辽宁工业大学土木建筑学院,锦州,121001 |
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| 基金项目： | 辽宁省教育厅科学技术研究项目(2006B052) |
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| 摘 要： | 遗传算法、模拟退火算法都是随机搜索方法,在处理全局优化、离散变量、多连通可行区等困难问题中,具有传统结构优化算法不可比拟的优势.笔者针对遗传算法和模拟退火算法的特点,取长补短,结合成一种混合遗传算法—遗传模拟退火混合算法.经改进后的混合算法既发挥了遗传算法全局搜索能力强的特点,又保留了模拟退火算法局部寻优效果好的优点.
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| 关 键 词： | 遗传算法 模拟退火算法 结构优化 |
Structural Optimization Design Based on Genetic Simulated Annealing Algorithm |
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| LIU Jing-yu,ZHU Chao-yan.Structural Optimization Design Based on Genetic Simulated Annealing Algorithm[J].Journal of Jilin Architectural and Civil Engineering,2010,27(2):5-8. |
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| Authors: | LIU Jing-yu ZHU Chao-yan |
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| Affiliation: | Liaoning University of Technology College of Civil Engineering & Architecture;Jinzhou;China 121001 |
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| Abstract: | Genetic algorithm(GA),simulated annealing(SA) are both stochastic search method,and they have the excellent predominance to compare the traditional structural optimization algorithms when they solve the diff iculties just like dealing with global optimization,discrete variables and the multi-connected feasible area.This essay is aimed at the characteristics of GA and SA,and combined the advantages to make a hybrid genetic algorithm---GSA.This improved GSA has both the great global search ability of GA and t... |
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| Keywords: | genetic algorithm simulated annealing structural optimization |
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