摘要
ESO算法是近年来提出的一种结构优化算法,它可以应用于多个领域。在土木工程方面,利用ESO算法可以寻找结构最优的拓扑形状,指导结构的设计。但这种算法存在先天的局限性,即无法保证它所得到的解是最优解。为此,将遗传算法与ESO算法揉合在一起,形成了一种新的遗传ESO算法,简称为GESO算法。GESO算法把群体的概念借鉴到ESO中,巧妙地解决了遗传算法费时和ESO易陷入局部最优解的两个问题。实例证明它得到的结果大多优于ESO算法。
Evolutionary structural optimization algorithm (ESO) is a newly advanced structural optimal algorithm used in many areas. In civil engineering, it acts as guides for designers to acquire the optimal topology configurations. Considering the innate lack of guaranteeing of the best solution in ESO, a new algorithm called genetic evolutionary structural optimization algorithm (GESO) in combination of genetic algorithm and evolutionary structural optimization algorithm was proposed to prevent time-consuming in genetic algorithm (GA) and easy falling into local optimum in ESO. Some examples were presented to validate the new method. The results are satisfactory.
出处
《工程力学》
EI
CSCD
北大核心
2004年第3期66-71,共6页
Engineering Mechanics
基金
国家自然科学基金(59978015)
关键词
结构优化
结构设计
遗传算法
ESO算法
Civil engineering
Evolutionary algorithms
Genetic algorithms
Structural design
Topology
