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

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.