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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.
Because of its excellent searching performance, swarm intelligence algorithm is widely used in structural optimization design, both artificial fish swarm algorithm and particle swarm optimization are intelligent optimization stochastic algorithms based on animal population behavior.In this paper, the basic concepts of artificial fish swarm algorithm and particle swarm optimization Principle and proposed a new hybrid particle swarm and fish swarm hybrid algorithm: particle swarm - fish swarm hybrid algorithm, the particle swarm optimization - fish swarm algorithm is applied to the four truss structure optimization design, including the plane truss structure and Space truss structure. By comparing the results of particle swarm-fish swarm algorithm, artificial fish swarm algorithm and particle swarm optimization algorithm, it is found that the improved particle swarm-fish swarm algorithm has the characteristics of high convergence precision and fast convergence rate, Good stability, can be used for structural optimization design.