应用免疫遗传算法优化设计层合板铺层顺序

鲁大伟; 李书

应用免疫遗传算法优化设计层合板铺层顺序

鲁大伟,
李书

北京航空航天大学航空科学与工程学院, 北京 100083

基金项目: 航空基础科学基金资助项目(02B51060); 航空支撑科技基金资助项目(01A51007)

详细信息

作者简介:
鲁大伟(1981-),男,辽宁鞍山人,博士生, ludawei@ase.buaa.edu.cn.

中图分类号: V 241.19
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- 被引次数: 0
出版历程
- 收稿日期: 2004-06-20
- 网络出版日期: 2005-02-28

Stacking sequence optimization of composite laminate applying genetic algorithm of immunity

Lu Dawei,
Li Shu

School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 应用遗传算法对复合材料层合板的铺层顺序进行优化设计,并通过免疫机理解决基本遗传算法中存在的收敛效率低、"早熟"等问题.以层合板的面内几何因子和弯曲因子为优化对象,建立遗传算法的优化模型.通过交叉、变异等遗传操作,搜索问题的最优解.借助免疫系统对抗体的促进和抑制机制,调节种群中个体的多样性.数值算例中给定了层合板的面内几何因子和弯曲因子,应用免疫遗传算法求解层合板的最佳铺层顺序.并将应用免疫遗传算法与标准遗传算法得到的优化结果进行了比较,证明了免疫遗传算法的优越性和实用性.
- 遗传算法 /
- 优化 /
- 免疫 /
- 复合材料 /
- 铺层顺序
Abstract: The sequence of composite laminate was optimized by genetic algorithm (GA) of immunity. The immunity mechanism was used to improve the convergence efficiency and solve the precocity problem of GA. The mathematic model was built to optimize the inplane geometry and bend factors. The optimization result was searched by cross and mutation and other genetic operations. The acceleration and restrain mechanism of immunity system was used to adjust the diversity of individuals. The stacking sequence of composite laminate was calculated at given inplane geometry and bend factors. The numerical results show the superiority and practicability of GA of immunity comparing with the results of standard GA.
- genetic algorithm /
- optimization /
- immunity /
- composite materials /
- staking sequence

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参考文献(1)

[1] Koetsu Y. Two-level optimization technique of composite laminate panels by genetic algorithms .AIAA-96-1539-CP,1996,1882~1887 [2] 张志民.复合材料结构力学[M].北京:北京航空航天大学出版社,1993 Zhang Zhimin. Mechanics of composite structures[M].Beijing:Beijing University of Aeronautics and Astronantics Press,1993 (in Chinese) [3] 晏飞,李为吉.基于自适应遗传算法的复合材料层合板铺层顺序优化设计[J].西北工业大学学报,2001,19(1):156~159 Yan Fei, Li Weiji. A stacking sequence optimization method of composite laminated panel based on an adaptive genetic algorithm[J]. Journal of Northwestern Polytechnical University,2001,19(1):156~159(in Chinese) [4] Fukuna H, Shkine H. Stiffness design method of symminates laminates using lamination parameters[J].AIAA Journal, 1992, 30(11):2791~2793 [5] 王小平,曹立明.遗传算法理论、应用与软件实现[M].西安:西安交通大学出版社,2002.18~49 Wang Xiaoping, Cao Liming. Theory and software implement of genetic algorithm . Xi’an:Press of Xi’an Jiaotong University,2002.18~49(in Chinese) [6] 杨建国,李蓓智,俞蕾.基于免疫遗传算法的优化设计[J].机械设计,2002,(9):14~17 Yang Jianguo,Li Peizhi, Yu Lei.Optimization design based on genetic algorithm of immunity [J].Journal of Mechanism Design,2002,(9):14~17(in Chinese)

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