粒子群-鱼群混合算法在桁架结构优化设计中的应用  

Particle swarm mixed fish colony algorithm for optimization of truss structures

作　　者：李丽娟[1] 彭懿[1] 

机构地区：[1]广东工业大学土木与交通工程学院,广东广州510006

出　　处：《空间结构》2012年第4期44-48,共5页Spatial Structures

基　　金：国家自然科学基金资助项目(51178121;51108188);广东省自然科学基金资助项目(S2012020011082;S2011040004060)

摘　　要：群智能算法由于其优异的搜索性能被广泛应用于结构优化设计,人工鱼群算法和粒子群算法都是基于动物群体行为的智能优化随机算法.本文介绍了人工鱼群算法和粒子群算法的基本原理,并提出了粒子群和鱼群杂交混合的一种新方法:粒子群-鱼群混合算法,将粒子群-鱼群混合算法应用到四个桁架结构的重量优化设计,包括平面桁架结构和空间桁架结构,通过比较粒子群-鱼群混合算法、人工鱼群算法、粒子群算法的优化结果,发现改进的粒子群-鱼群混合算法具有收敛精度高、收敛速度快等特点,同时具有较好的稳定性,可用于结构优化设计.Particle swarm intelligent algorithms were widely used in optimal design of structures because of their excellent search properties.Artificial fish colony and particle swarm both are stochastic intelligent algorithms based optimization technique inspired by the intelligent foraging behavior of animals.A hybrid stochastic algorithm named Particle Swarm-Artificial Fish Swarm Algorithm（PS-AFSA） based on particle swarm algorithm and artificial colony algorithm was presented to minimize the weight of truss structures.Four truss examples with fixed-geometry and up to 72 elements were studied to verify the effect of PS-AFSA in the creation of an optimal design for truss structures.The results of PS-AFSA compared with that of other optimization algorithms from the literatures show that this algorithm is a powerful search and optimization technique for structural optimal design.

关 键 词：粒子群-鱼群混合算法 人工鱼群算法 粒子群算法 桁架结构 

分 类 号：TU323.4[建筑科学—结构工程]