基于改进遗传算法桁架结构优化设计  

OPTIMIZATION OF TRUSS STRUCTURAL DESIGN BEASED ON IMPROVED GENETIC ALGORITHMS

作　　者：谷文成[1] 张洵安[1] 秦相军[1] 林治民[1] 

机构地区：[1]西北工业大学力学与土木建筑学院,西安710072

出　　处：《低温建筑技术》2007年第5期56-58,共3页Low Temperature Architecture Technology

基　　金：西北工业大学科技创新基金(M450211);西北工业大学研究生创业种子基金(Z200729)

摘　　要：探讨了遗传算法在离散变量结构优化设计中应用。在优化设计模型中采用凝聚函数处理约束条件,引入小生境(niche)技术、改进交叉方法以及采用竞争最优保留策略来改善遗传算法性能。最后通过算例验证了本文方法的可行性和有效性。This paper investigated the application of Genetic Algorithms （GA） in the optimum design of structures with discrete variable. Surrogating function was adopted to deal with the constraint conditions in the optimum design model. The niche GA, the improved cross method and the method of competitive elitist preserving were introduced to amend the capability of GA. Finally, an example was presented to demonstrate reliability and feasibility of improved Genetic Algorithms in the paper.

关 键 词：桁架结构优化 遗传算法 小生境 

分 类 号：TU323.4[建筑科学—结构工程]