计算机工程与应用2018，Vol.54Issue(3)：136-141,6.DOI:10.3778/j.issn.1002-8331.1608-0364
飞蛾纵横交叉混沌捕焰优化算法
Moth-flame optimization algorithm based on chaotic crisscross operator
摘要
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.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Key words
Moth-Flame Optimization(MFO)algorithm/crisscross mechanism/chaotic operator/metaheuristic分类
信息技术与安全科学引用本文复制引用
吴伟民,李泽熊,林志毅,吴汪洋,方典禹..飞蛾纵横交叉混沌捕焰优化算法[J].计算机工程与应用,2018,54(3):136-141,6.基金项目
国家自然科学基金(No.61502108) （No.61502108）
广东省自然科学基金(No.2014A030313512,No.2014A030313629) （No.2014A030313512,No.2014A030313629）
广东省重大科技专项(No.2014B010111007) （No.2014B010111007）
广东省科技计划项目(No.2013B011304007) （No.2013B011304007）
广东省公益研究与能力建设专项(No.2016A010101027). （No.2016A010101027）
