现代制造工程Issue(9)：22-28,101,8.DOI:10.16731/j.cnki.1671-3133.2017.09.005
基于元胞蝙蝠算法的复合式贴片机贴装调度优化
Dual-gantry placement machine scheduling based on cellular bat algorithm
摘要
Abstract
To improve the efficiency of dual-gantry placement machine ,the placement process optimization problem is studied ,a cellular bat algorithm is proposed.The algorithm proposes a piece-wise integer coding scheme.And the cellular automata is intro-duced into the bat algorithm to study the information communicating and exchanging mechanism.The strategy of self-adaptive multi crossover operators is adopted to improve the robustness of the algorithm.To accelerate the convergence and maintain the population diversity ,an elitist external archive is established.An iterative swap procedure is borrowed to improve the convergence accuracy.The simulation results show the proposed algorithm have a better performance in convergence rate and accuracy ,which can achieve the optimization of the placement process to improve the assembly efficiency.关键词
蝙蝠算法/复合式贴片机/贴装优化/元胞自动机/多交叉策略Key words
bat algorithm/dual-gantry placement machine/placement optimization/cellular automata/multi-crossover strategy分类
信息技术与安全科学引用本文复制引用
陆曈曈,余竹玛,郑小东..基于元胞蝙蝠算法的复合式贴片机贴装调度优化[J].现代制造工程,2017,(9):22-28,101,8.基金项目
国家自然科学基金资助项目(51275274) （51275274）
湖北省自然科学基金项目(2014CFB665) （2014CFB665）
