期刊论文

Agricultural mechanical and electrical equipment optimization based on changing-step fish swarm algorithms

中文

武汉轻工大学学报

2095-7386

2019

38

4

40-44

10.3969/j.issn.2095-7386.2019.04.009

本校为第一机构

在分析和研究鱼群算法理论的基础上,运用鱼群算法及变步长自适应改进型鱼群算法,分别以继电器和减振弹簧作为仿真对象,对继电器体积、减振弹簧疲劳安全系数、弹簧质量及自振频率等多目标进行优化设计。仿真结果表明:使用鱼群算法和改进型算法优化,对于继电器,在保证可靠性和安全性的前提下,继电器体积分别减小36.41%和44.51%;对于减振弹簧,在满足多目标的前提下,得到了最佳的弹簧丝径、中径和工作圈数。有效证明了鱼群算法及其改进型算法用于此类问题求解的可行性。

Based on fish swarm algorithms, improved fish swarm algorithms regarding self-adaptive and changing-step are used in optimization of electromagnetic relay, which takes the size as target function. Also the optimization simulation includes the damping spring, which takes the fatigue safety coefficients, mass and natural frequency as target function. The simulations show that the size of the relay is reduced by 36.41% and 44.51% respectively under fish swarm algorithms and the improved algorithms, and reliability and safety are guaranteed. As for the spring, the diameter, middle diameter and wor...