飞蛾纵横交叉混沌捕焰优化算法

摘要

For the Moth-Flame Optimization(MFO)algorithm's slow convergence speed and easy falling into the partial optimization, a method of MFO algorithm based on Chaotic Crisscross operator(CCMFO)is proposed. The crisscross mechanism and chaotic operator are introduced for flame scratching. Search blind spots are reduced by vertical cricross. Dimension-crisscross and chaotic mapping enhance the ability of skipping the partial optimization. Flame information spreads rapidly like chain reaction by double-crisscross, accelerates the convergence speed and avoids algorithm premature. Through simulation experiments, it is proved that the new algorithm has high convergence rate, solution accuracy and stability.%针对基本飞蛾捕焰优化(MFO)算法收敛速度慢和易陷入局部最优的缺陷,提出一种飞蛾纵横交叉混沌捕焰(CCMFO)算法.为飞蛾捕焰引入纵横交叉机制和混沌算子,通过横向全方位交叉寻优减少搜索盲点,纵向维交叉开发和混沌映射增强跳出局部最优的能力,火焰信息在种群中纵横交叉呈链式反应传播,加快收敛速度和避免算法早熟.通过仿真对比实验,证明了该算法具有较好的收敛速度、求解精度和稳定性.