Application of Improved Golden Jackal Algorithm in Lithium Iron Phosphate Production Scheduling
Lithium iron phosphate,as an important cathode material for lithium-ion batteries,is in increasing demand in the new energy market.We propose a scheduling method based on the improved golden jackal algorithm for the job shop scheduling problem in the pro-duction process of lithium iron phosphate.Lithium iron phosphate,as an important battery material,requires reasonable scheduling and ar-rangement in its production process to improve production efficiency and product quality.The proposed improved golden jackal algorithm can better solve job shop scheduling problems by introducing improvement strategies.Compared with traditional heuristic algorithms,the improved Golden Jackal algorithm has stronger global search ability and efficient search speed.In addition,it also has flexible parameter adjustment,which can be optimized based on the characteristics and constraints of specific problems to achieve better performance and ef-fectiveness.In order to verify the application effect of the improved golden jackal algorithm in the scheduling of lithium iron phosphate production,we designed a series of simulation experiments.Compared with traditional heuristic scheduling algorithms,the improved golden jackal algorithm can find better scheduling solutions under complex constraints and improve production efficiency.Specifically,it can quickly find the global optimal solution,reduce scheduling time and cost,and improve the accuracy of delivery cycles.
lithium iron phosphateworkshop schedulingproduction schedulinggolden jackal algorithmimproved golden jackal algo-rithm
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