关键词: 飞蛾捕焰优化算法, 纵横交叉机制, 混沌算子, 元启发式算法

Abstract: 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.

Key words: Moth-Flame Optimization（MFO） algorithm, crisscross mechanism, chaotic operator, metaheuristic