基于改进黏菌优化算法的混合Seru生产调度研究

Research on hybrid Seru production scheduling based on improved slime mold optimization algorithm

  • 摘要: 随着定制化生产的市场需求日趋显著,Seru生产系统(seru production system,SPS)应运而生,并逐渐成为生产研究领域的热点。文章针对混合Seru生产系统的构建以及调度问题进行研究,即在短生产线生产场景下,基于巡回式Seru单元,建立混合Seru生产系统的数学模型,并以最大完工时间以及总工时建立双优化目标,决策混合Seru的构建顺序。先基于黏菌优化算法,针对其初始化效率低的局限性,引入Tent混沌映射以及精英反向学习策略,得到混沌精英黏菌(chaotic elite slime mould algorithm, CESMA)算法。最后,通过实验,验证了混合Seru生产系统中,混沌精英黏菌算法对于混合Seru生产系统构建实例的优越性。

     

    Abstract: With the increasingly significant market demand for customized production, Seru production system (SPS) came into being and has gradually become a hot spot in the field of production research. In this paper, the construction and scheduling problems of hybrid Seru production system are studied. That is, in the production scene of short production line, the mathematical model of hybrid Seru production system is established based on itinerant Seru unit, and double optimization objectives are established with the maximum completion time and total working hours to decide the construction sequence of hybrid Seru. First, based on the slime mold optimization algorithm, aiming at the limitations of its low initialization efficiency, Tent chaotic mapping and elite reverse learning strategy were introduced to obtain the Chaotic elite Slime mold algorithm (CESMA). Finally, the superiority of chaotic elite slime mold algorithm to the hybrid Seru production system is verified by experiments.

     

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