具有记忆功能的海鸥优化算法求解方程组

Seagull optimization algorithm with memory function for solving system of equations

对方程组的求解问题进行研究,提出一种具有记忆功能的海鸥优化算法(MSOA)求解方程组。通过引入记忆功能提高算法的求解能力,避免算法陷入局部最优。为测试MSOA的性能,引入10个标准测试函数进行测试,测试结果表明MSOA算法性能优越。利用MSOA分别对5个线性方程组和10个非线性方程组进行仿真实验,并与其它算法进行对比,MSOA算法的求解精度较高。实验结果表明,该算法在解的数量和质量上都具有优势,进一步验证了MSOA的寻优能力。

The problem of solving the equation group was studied,and a seagull optimization algorithm with memory(MSOA)function was proposed to solve the equations.The memory function was introduced to improve the algorithm’s solving ability and avoid the algorithm falling into local optimum.To test the performance of the MSOA,10 standard test functions were introduced to test.The result shows that the MSOA algorithm has superior performance.Meanwhile,MSOA simulation experiments of 5 linear equations and 10 nonlinear equations were carried out,and compared with other algorithms.The MSOA algorithm has high accuracy.Experimental results show that the proposed algorithm has advantages in the quantity and quality of solutions,and further verifies the MSOA’s optimization ability.