分析了类电磁机制算法的优化机理,改造了带电粒子受力的计算公式,引入了移动系数,从而提出了一种改进的类电磁机制算法.实验证明,改进后的算法加快了收敛速度,提高了求解精度.尤其在求解高维函数优化问题中,改进后的算法优势表现得更加明显,从而使类电磁机制算法很好地解决了高维函数优化问题.
Electromagnetism-like mechanism (EM) is a new population-based stochastic global optimization algorithm. A modified EM is proposed. According to the optimizing mechanism of EM, the computation equation for forces exerted on the charged particles was modified and a moving coefficient was introduced into the equation. The experimental results demonstrate that the modified algorithm accelerates the convergence speed and improves the precision of the solutions, especially in optimizing the functions with high dimensions, showing that the functions optimization with high dimensions can be solved by this algorithm well.