基于改进人工搜索群算法的多目标电磁装置优化

Optimization of Multi-Objective Electromagnetic Device Based on Improved Artificial Searching Swarm Algorithm

在介绍多目标优化问题和人工搜索群算法基本原理的基础上,将Pareto理论引入人工搜索群算法中,提出了多目标人工搜索群算法(MOASSA)。同时精选4个两目标函数算例对MOASSA进行测试,通过与其他多目标优化算法比较,证明了MOASSA的有效性。最后,将MOASSA成功应用于双E型交流接触器优化问题。求解结果验证了MOASSA在解决实际工程问题方面的有效性和实用性,为解决电磁领域优化问题提供了一种可靠的方法。

This paper briefly discussed the basic theories of multi-objective optimization problem and artificial searching swarm algorithm. Based on it, the Fareto theory was introduced into the artificial searching swarm algorithm to improve the algorithm and proposed a multi-objective artificial searching swarm algorithm（MOASSA）. Then four multi-objective function examples were selected to test the proposed algorithm. By comparing with other multi-objective optimization algorithms,the validity of the MOASSA was proved. Subsequently,taking the double E- type AC contactor as research object, the multi-objective artificial searching swarm algorithm was successfully applied to solve this problem. The result verifies the validity and practicability of the proposed algorithm in solving the practical engineering problems. A reliable method was provided for solving the optimization problems of electromagnetic field.