中文摘要：

提出了一种M-精英协同进化分子动理论优化算法（MECKMTOA,M-elite coevolutionary KMTOA）。该算法基于M个精英以尽量避免发生错误引导,通过精英间的学习与协作提高算法的收敛精度,采用新型的波动算子防止算法陷入按维早熟。测试结果表明,MECKMTOA在求解精度、算法稳定性、高维函数求解等方面均表现出良好性能。

英文摘要：

M-elite coevolutionary kinetic-molecular theory optimization algorithm（MECKMTOA） was proposed. MECKMTOA uses M elites to avoid misleading, improves the convergence precision by learning and collaboration among the elites, employs a new wave operator to prevent premature by dimension. The results show that MECKMTOA has good performance in precision and stability, and can solve the high-dimensional function optimization problems well.