基于混沌人工搜索群算法的交流接触器优化设计

AC Contactor Optimization Based on the Improved Artificial Search Swarm Algorithm

人工搜索群算法(ASSA)是一种新颖的仿生智能优化算法。鉴于初始群体对该类算法性能影响较大,利用混沌原理公式生成初始化群体,进而提出了混沌人工搜索群算法(CASSA)。并精选典型的测试函数,对其性能做了仿真分析,由仿真结果验证了CASSA的有效性。在对某型交流接触器进行参数有限元建模和优化数学建模基础上,利用CASSA完成该优化设计任务。优化结果表明,交流接触器的经济指标和其他各项性能指标均得到明显改善。

Artificial search swarm algorithm（ASSA） is a novel intelligent optimization algorithm. In view of theinitial group having a great influence on the performance of the algorithm, this paper introduced the chaos theory,and used chaotic equation to generate the initialization of group, then proposed chaos artificial searching swarmalgorithm （CASSA）, to improve the performance of ASSA. The typical test functions were selected and theperformance of the algorithm was analyzed. The analysis results show the superiority of CASSA. The parameterizedfinite element model and the optimization mathematical model were established by AC contactor as the researchobject. The optimization results show that economic indicators and other various performance indicators of the ACcontactor are significantly improved.