In view of the slow convergence and low accuracy of the artificial fish - swarm algorithm for the optimal design of truss structures, the Logistic equation was used to initialize the fish group to improve the efficiency and quality of solution on the initial stage of the algorithm, and the inertia weight adjustment strategy of particle swarm optimization was used to adjust the artificial fish' s vision and to step to raise the speed and accuracy of optimization in the process of operation. Then the improved artificial fish - swarm algorithm was applied to the truss structural optimization, and the optimal design model was established with the section size of the truss as the design variable, the minimum structural weight of structure as the objective function. The Matlab was used for the optimization analysis of the model, and the result was compared with those of other algorithms. It is showed that the algorithm is improved in the convergence rate and searching precision and the effect is obvious especially on the initial stage.%针对基本人工鱼群算法在解决桁架结构优化问题时存在的后期收敛速度慢、寻优精度不高等缺陷,在算法初期采用Logistic方程初始化解群,提高求解效率和质量,在算法运行过程中利用粒子群优化算法惯性权重调整策略对人工鱼的步长进行改进,以提高寻优的速度和精度.将改进后的算法应用到桁架结构优化中,以桁架截面尺寸为设计变量,结构最小重量为目标函数建立优化设计模型,运用MATLAB进行模型优化分析,并与其它算法优化结果进行对比.结果表明,改进的算法在收敛速度与寻优精度方面均有所提高,尤其在迭代计算的初期,效果非常明显.
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