飞蛾纵横交叉混沌捕焰优化算法

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。

Moth-flame optimization algorithm based on chaotic crisscross operator

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.